Abstract is missing.
- Criticality dispersion in swarms to optimize n-tuplesM. A. Hannan Bin Azhar, Farzin Deravi, Keith R. Dimond. 1-8 [doi]
- Multivariate ant colony optimization in continuous search spacesFabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis de Faissol Attux. 9-16 [doi]
- Swarm intelligence in e-learning: a learning object sequencing agent based on competenciesLuis de Marcos, José-Javier Martínez, José Antonio Gutiérrez. 17-24 [doi]
- Scaling ant colony optimization with hierarchical reinforcement learning partitioningErik J. Dries, Gilbert L. Peterson. 25-32 [doi]
- A multi-objective ant colony approach for pareto-optimization using dynamic programmingSascha Häckel, Marco Fischer, David Zechel, Tobias Teich. 33-40 [doi]
- Collective intelligence and bush fire spottingDavid Howden, Tim Hendtlass. 41-48 [doi]
- Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarmsJohannes Jordan, Sabine Helwig, Rolf Wanka. 49-56 [doi]
- Particle filtering with particle swarm optimization in systems with multiplicative noiseA. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis. 57-62 [doi]
- A sense of danger: dendritic cells inspired artificial immune system for manet securityNauman Mazhar, Muddassar Farooq. 63-70 [doi]
- Convergence behavior of the fully informed particle swarm optimization algorithmMarco Antonio Montes de Oca, Thomas Stützle. 71-78 [doi]
- Denial of service detection and analysis using idiotypic networks paradigmMarek Ostaszewski, Pascal Bouvry, Franciszek Seredynski. 79-86 [doi]
- A new quantum behaved particle swarm optimizationMillie Pant, Radha Thangaraj, Ajith Abraham. 87-94 [doi]
- Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operatorsJorge Peña. 95-102 [doi]
- A formal performance modeling framework for bio-inspired ad hoc routing protocolsMuhammad Saleem, Syed Ali Khayam, Muddassar Farooq. 103-110 [doi]
- Enhanced generalized ant programming (EGAP)Amirali Salehi-Abari, Tony White. 111-118 [doi]
- Improving accuracy of immune-inspired malware detectors by using intelligent featuresM. Zubair Shafiq, Syed Ali Khayam, Muddassar Farooq. 119-126 [doi]
- Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributionsThomas Stibor. 127-134 [doi]
- Runtime analysis of binary PSODirk Sudholt, Carsten Witt. 135-142 [doi]
- Evolutionary swarm design of architectural idea modelsSebastian von Mammen, Christian Jacob. 143-150 [doi]
- Optimizing task schedules using an artificial immune system approachHan Yu. 151-158 [doi]
- Particle swarm clustering ensembleAbbas Ahmadi, Fakhri Karray, Mohamed Kamel. 159-160 [doi]
- Attack analysis & bio-inspired security framework for IP multimedia subsystemAliya Awais, Muddassar Farooq, Muhammad Younus Javed. 161-162 [doi]
- Heterogeneous sensitive ant model for combinatorial optimizationCamelia Chira, D. Dumitrescu, Camelia-Mihaela Pintea. 163-164 [doi]
- Allocation of local and global search capabilities of particle in canonical PSOJunqi Zhang, Kun Liu, Ying Tan, Xingui He. 165-166 [doi]
- Magnifier particle swarm optimization for numerical optimizationJunqi Zhang, Kun Liu, Ying Tan, Xingui He. 167-168 [doi]
- Modeling ant colony foraging in dynamic and confined environmentElton Bernardo Bandeira de Melo, Aluizio F. R. Araújo. 169-176 [doi]
- Evolving cooperative control on sparsely distributed tasks for UAV teams without global communicationGregory J. Barlow, Choong K. Oh, Stephen F. Smith. 177-184 [doi]
- Selection for group-level efficiency leads to self-regulation of population sizeBenjamin E. Beckmann, Philip K. McKinley, Charles Ofria. 185-192 [doi]
- On hopeful monsters, neutral networks and junk code in evolving L-systemsStefan Bornhofen, Claude Lattaud. 193-200 [doi]
- Multi-agent task allocation: learning when to say noAdam Campbell, Annie S. Wu, Randall Shumaker. 201-208 [doi]
- On the evolution of motility and intelligent tactic responseLaura M. Grabowski, Wesley R. Elsberry, Charles Ofria, Robert T. Pennock. 209-216 [doi]
- Cooperative network construction using digital germlinesDavid B. Knoester, Philip K. McKinley, Charles Ofria. 217-224 [doi]
- Neuro-evolution for a gathering and collective construction taskD. W. F. van Krevelen, G. S. Nitschke. 225-232 [doi]
- Designing multi-rover emergent specializationGeoff Nitschke, Martijn C. Schut. 233-240 [doi]
- The influence of scaling and assortativity on takeover times in scale-free topologiesJoshua L. Payne, Margaret J. Eppstein. 241-248 [doi]
- A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamicsJames Smaldon, Jonathan Blakes, Natalio Krasnogor, Doron Lancet. 249-256 [doi]
- Co-evolution of active sensing and locomotion gaits of simulated snake-like robotIvan Tanev, Katsunori Shimohara. 257-264 [doi]
- Modular neuroevolution for multilegged locomotionVinod K. Valsalam, Risto Miikkulainen. 265-272 [doi]
- Individual-based artificial ecosystems for design and optimizationSrinivasa Shivakar Vulli, Sanjeev Agarwal. 273-280 [doi]
- Genetic algorithms and grid computing for artificial embryogenySylvain Cussat-Blanc, Fabien Viale, Hervé Luga, Yves Duthen, Denis Caromel. 281-282 [doi]
- Evolving stable behavior in a spino-neuromuscular system modelStanley Phillips Gotshall, Terry Soule. 283-284 [doi]
- Nested evolution of an autonomous agent using descriptive encodingJae-Yoon Jung, James A. Reggia. 285-286 [doi]
- Towards efficient evolution of morphology and controlPeter Krah. 287-288 [doi]
- Reconfigurable analogue hardware evolution of adaptive spiking neural network controllersBrian McGinley, Patrick Rocke, Fearghal Morgan, John Maher. 289-290 [doi]
- EIN-WUM: an AIS-based algorithm for web usage miningAdel Torkaman Rahmani, B. Hoda Helmi. 291-292 [doi]
- Genetic programming based automatic gait generation for quadruped robotsKisung Seo, Soohwan Hyun. 293-294 [doi]
- A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structureStanis Trendelenburg, Joachim Becker, Fabian Henrici, Yiannos Manoli. 295-296 [doi]
- Behavior-based speciation for evolutionary roboticsLeonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega. 297-298 [doi]
- Rapid evaluation and evolution of neural models using graphics card hardwareThomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A. B. Lindsay. 299-306 [doi]
- Evolution of discrete gene regulatory modelsAfshin Esmaeili, Christian Jacob. 307-314 [doi]
- An efficient probabilistic population-based descent for the median genome problemAdrien Goëffon, Macha Nikolski, David James Sherman. 315-322 [doi]
- Finding consensus trees by evolutionary, variable neighborhood search, and hybrid algorithmsSandro Pirkwieser, Günther R. Raidl. 323-330 [doi]
- Structure and parameter estimation for cell systems biology modelsFrancisco José Romero-Campero, Hongqing Cao, Miguel Cámara, Natalio Krasnogor. 331-338 [doi]
- Mask functions for the symbolic modeling of epistasis using genetic programmingRyan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore. 339-346 [doi]
- Protein-protein functional association prediction using genetic programmingBeatriz García, Ricardo Aler, Agapito Ledezma, Araceli Sanchís. 347-348 [doi]
- Warping search: a new metaheuristic applied to the protein structure predictionRichard A. Gonçalves, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado. 349-350 [doi]
- Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programmingCasey S. Greene, Bill C. White, Jason H. Moore. 351-352 [doi]
- A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalanceNicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif. 353-354 [doi]
- Fitnessless coevolutionWojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch. 355-362 [doi]
- Managing team-based problem solving with symbiotic bid-based genetic programmingPeter Lichodzijewski, Malcolm I. Heywood. 363-370 [doi]
- A no-free-lunch framework for coevolutionTravis C. Service, Daniel R. Tauritz. 371-378 [doi]
- An empirical comparison of evolution and coevolution for designing artificial neural network game playersMin Shi. 379-386 [doi]
- Co-optimization algorithmsTravis C. Service, Daniel R. Tauritz. 387-388 [doi]
- A coevolution archive based on problem dimensionLiping Yang, Houkuan Huang, Yabin Liu. 389-390 [doi]
- On the effectiveness of distributions estimated by probabilistic model buildingChung-Yao Chuang, Ying-Ping Chen. 391-398 [doi]
- UMDAs for dynamic optimization problemsCarlos M. Fernandes, Cláudio F. Lima, Agostinho C. Rosa. 399-406 [doi]
- Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributionsJosé A. Gámez, Juan L. Mateo, Jose Miguel Puerta. 407-414 [doi]
- Using previous models to bias structural learning in the hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. 415-422 [doi]
- Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutationDavid Iclanzan, D. Dumitrescu. 423-430 [doi]
- From mating pool distributions to model overfittingCláudio F. Lima, Fernando G. Lobo, Martin Pelikan. 431-438 [doi]
- Investigating restricted tournament replacement in ECGA for non-stationary environmentsCláudio F. Lima, Carlos Fernandes, Fernando G. Lobo. 439-446 [doi]
- Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithmsMartin Pelikan, Katzgraber G. Helmut, Sigismund Kobe. 447-454 [doi]
- iBOA: the incremental bayesian optimization algorithmMartin Pelikan, Kumara Sastry, David E. Goldberg. 455-462 [doi]
- An application of a multivariate estimation of distribution algorithm to cancer chemotherapyAlexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski. 463-464 [doi]
- Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network edaAlexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul M. Godley, David E. Cairns, Julie Cowie. 465-466 [doi]
- Improving the efficiency of the extended compact genetic algorithmThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry. 467-468 [doi]
- An estimation distribution algorithm with the spearman s rank correlation indexArturo Hernández Aguirre, Enrique R. Villa Diharce, Selma Barba-Moreno. 469-470 [doi]
- Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategyYi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren. 471-472 [doi]
- The directional EDA for global optimizationPedro P. Mayorga-Alvarez, Arturo Hernández Aguirre. 473-474 [doi]
- An EDA based on local markov property and gibbs samplingSiddhartha Shakya, Roberto Santana. 475-476 [doi]
- Designing EDAs by using the elitist convergent EDA concept and the boltzmann distributionSergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda. 477-478 [doi]
- Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptationYouhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. 479-486 [doi]
- Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombinationHans-Georg Beyer, Alexander Melkozerov. 487-494 [doi]
- Application domain study of evolutionary algorithms in optimization problemsPilar Caamaño, Francisco Bellas, José Antonio Becerra, Richard J. Duro. 495-502 [doi]
- Aiming for a theoretically tractable CSA variant by means of empirical investigationsJens Jägersküpper, Mike Preuss. 503-510 [doi]
- Why noise may be good: additive noise on the sharp ridgeSilja Meyer-Nieberg, Hans-Georg Beyer. 511-518 [doi]
- Performance analysis of derandomized evolution strategies in quantum control experimentsOfer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz. 519-526 [doi]
- Non-monotone differential evolutionMichael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis. 527-528 [doi]
- A comparison of speciation, extinction, and complexification in neuroevolution with and without selection pressureDerek James. 529-530 [doi]
- A hybrid method for tuning neural network for time series forecastingAranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira. 531-532 [doi]
- Maintaining population diversity by maintaining family structuresJohn Nicholson, Mark White. 533-534 [doi]
- Multiobjective evolution of a fuzzy controller in a sewage treatment plantPatrick Stalph, Marc Ebner, Martin Michel, Bernd Pfaff, Roland Benz. 535-536 [doi]
- Levy walk evolution for global optimizationOnay Urfalioglu, A. Enis Çetin, Ercan E. Kuruoglu. 537-538 [doi]
- Crossover can provably be useful in evolutionary computationBenjamin Doerr, Edda Happ, Christian Klein. 539-546 [doi]
- Enhancing solution quality of the biobjective graph coloring problem using hybridization of EA: biobjective graph coloring problemRajeev Kumar, Paresh Tolay, Siddharth Tiwary. 547-554 [doi]
- A study of NK landscapes basins and local optima networksGabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos. 555-562 [doi]
- Orientation matters: how to efficiently solve ocst problems with problem-specific EAsWolfgang Steitz, Franz Rothlauf. 563-570 [doi]
- Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problemsHugo Terashima-Marín, José C. Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón. 571-578 [doi]
- An iterated greedy algorithm for the node placement problem in bidirectional Manhattan street networksFubito Toyama, Kenji Shoji, Juichi Miyamichi. 579-584 [doi]
- Understanding elementary landscapesDarrell Whitley, Andrew M. Sutton, Adele E. Howe. 585-592 [doi]
- Feasibility-preserving crossover for maximum k-coverage problemYourim Yoon, Yong-Hyuk Kim, Byung Ro Moon. 593-598 [doi]
- Distributed problem solving by memetic networks: extended abstractRicardo M. Araujo, Luís C. Lamb. 599-600 [doi]
- Evolving heuristics with genetic programmingMohamed Bahy Bader-El-Den, Riccardo Poli. 601-602 [doi]
- A parallel evolutionary algorithm for unconstrained binary quadratic problemsIstván Borgulya. 603-604 [doi]
- A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problemsM. Borschbach, A. Exeler. 605-606 [doi]
- An evolutionary algorithm for some cases of the single-source constrained plant location problemBryant A. Julstrom. 607-608 [doi]
- Subheuristic search and scalability in a hyperheuristicRobert E. Keller, Riccardo Poli. 609-610 [doi]
- Greedy heuristics and evolutionary algorithms for the bounded minimum-label spanning tree problemArindam Khaled, Bryant A. Julstrom. 611-612 [doi]
- A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problemsParvaz Mahdabi, Saeed Jalili, Mahdi Abadi. 613-614 [doi]
- Complexity of Max-SAT using stochastic algorithmsMohamed Qasem, Adam Prügel-Bennett. 615-616 [doi]
- Embedded evolutionary multi-objective optimization for worst case robustnessGideon Avigad, Jürgen Branke. 617-624 [doi]
- Graph partitioning through a multi-objective evolutionary algorithm: a preliminary studyDilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira. 625-632 [doi]
- A robust evolutionary framework for multi-objective optimizationKalyanmoy Deb. 633-640 [doi]
- Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimizationChristian Horoba, Frank Neumann. 641-648 [doi]
- Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problemsHisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima. 649-656 [doi]
- Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road networkHitoshi Kanoh, Kenta Hara. 657-664 [doi]
- G-Metric: an M-ary quality indicator for the evaluation of non-dominated setsGiovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda. 665-672 [doi]
- Objective reduction using a feature selection techniqueAntonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty. 673-680 [doi]
- Pareto analysis for the selection of classifier ensemblesEulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin. 681-688 [doi]
- Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithmLuis Martí, Jesús García, Antonio Berlanga, José Manuel Molina. 689-696 [doi]
- Reference point based multi-objective evolutionary algorithms for group decisionsJella Pfeiffer, Uli Golle, Franz Rothlauf. 697-704 [doi]
- A new memetic strategy for the numerical treatment of multi-objective optimization problemsOliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello. 705-712 [doi]
- Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithmsOliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi. 713-720 [doi]
- A pareto following variation operator for fast-converging multiobjective evolutionary algorithmsA. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya. 721-728 [doi]
- AMGA: an archive-based micro genetic algorithm for multi-objective optimizationSantosh Tiwari, Patrick Koch, Georges Fadel, Kalyanmoy Deb. 729-736 [doi]
- Pattern identification in pareto-set approximationsTamara Ulrich, Dimo Brockhoff, Eckart Zitzler. 737-744 [doi]
- Integrating user preferences with particle swarms for multi-objective optimizationUpali K. Wickramasinghe, Xiaodong Li. 745-752 [doi]
- Solving constrained multi-objective problems by objective space analysisGideon Avigad, Carlos A. Coello Coello. 753-754 [doi]
- Testing parallelization paradigms for MOEAsSadeesha Gamhewa, Philip Hingston. 755-756 [doi]
- Parallel hyperheuristic: a self-adaptive island-based model for multi-objective optimizationCoromoto León, Gara Miranda, Carlos Segura. 757-758 [doi]
- On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithmsGiovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda. 759-760 [doi]
- Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local SearchThibaut Lust. 761-762 [doi]
- Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problemsLuis V. Santana-Quintero, Carlos A. Coello Coello, Alfredo García Hernández-Díaz. 763-764 [doi]
- Single-objective front optimization: application to rf circuit designEduardo José Solteiro Pires, Luís Mendes, Paulo B. de Moura Oliveira, José António Tenreiro Machado, Nuno M. Fonseca Ferreira, João Caldinhas Vaz, Maria J. Rosário. 765-766 [doi]
- A novel approach to route selection in car navigation systems by a multiobjective genetic algorithmFeng Wen, Xiaohao Gao, Mitsuo Gen. 767-768 [doi]
- Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimizationSaúl Zapotecas Martínez, Carlos A. Coello Coello. 769-770 [doi]
- Precision, local search and unimodal functionsMartin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel. 771-778 [doi]
- Computing minimum cuts by randomized search heuristicsFrank Neumann, Joachim Reichel, Martin Skutella. 779-786 [doi]
- Memetic algorithms with variable-depth search to overcome local optimaDirk Sudholt. 787-794 [doi]
- A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapesThomas Weise, Stefan Niemczyk, Hendrik Skubch, Roland Reichle, Kurt Geihs. 795-802 [doi]
- Simulated annealing, its parameter settings and the longest common subsequence problemDennis Weyland. 803-810 [doi]
- Focused no free lunch theoremsDarrell Whitley, Jonathan E. Rowe. 811-818 [doi]
- Generative encoding for multiagent learningDavid B. D Ambrosio, Kenneth O. Stanley. 819-826 [doi]
- Evolutionary design of dynamic SwarmScapesNamrata Khemka, Scott Novakowski, Gerald Hushlak, Christian Jacob. 827-834 [doi]
- An evolvability-enhanced artificial embryogeny for generating network structuresHidenori Komatsu, Yasuhiro Hashimoto, Yu Chen, Hirotada Ohashi. 835-842 [doi]
- Measures of complexity for artificial embryogenyTaras Kowaliw. 843-850 [doi]
- A cellular model for the evolutionary development of lightweight material with an inner structureTill Steiner, Yaochu Jin, Bernhard Sendhoff. 851-858 [doi]
- Phenotypic, developmental and computational resources: scaling in artificial developmentGunnar Tufte. 859-866 [doi]
- How generative encodings fare on less regular problemsJeff Clune, Charles Ofria, Robert T. Pennock. 867-868 [doi]
- Unsupervised learning of echo state networks: balancing the double poleFei Jiang, Hugues Berry, Marc Schoenauer. 869-870 [doi]
- Growth control and disease mechanisms in computational embryogenyOr Yogev, Andrew A. Shapiro, Erik K. Antonsson. 871-872 [doi]
- A tree-based GA representation for the portfolio optimization problemClaus C. Aranha, Hitoshi Iba. 873-880 [doi]
- Search space reduction technique for constrained optimization with tiny feasible spaceAbu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth. 881-888 [doi]
- In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithmAnurag Bhatt, Pratul Varshney, Kalyanmoy Deb. 889-896 [doi]
- An enhanced statistical approach for evolutionary algorithm comparisonEduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner. 897-904 [doi]
- Rank based variation operators for genetic algorithmsJorge Cervantes, Christopher R. Stephens. 905-912 [doi]
- Adaptive operator selection with dynamic multi-armed banditsLuís Da Costa, Álvaro Fialho, Marc Schoenauer, Michèle Sebag. 913-920 [doi]
- An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computingTravis J. Desell, Boleslaw K. Szymanski, Carlos A. Varela. 921-928 [doi]
- Comparing global and local mutations on bit stringsBenjamin Doerr, Thomas Jansen, Christian Klein. 929-936 [doi]
- A self-organized criticality mutation operator for dynamic optimization problemsCarlos M. Fernandes, Juan Julián Merelo Guervós, Vitorino Ramos, Agostinho C. Rosa. 937-944 [doi]
- Theoretical analysis of diversity mechanisms for global explorationTobias Friedrich, Pietro Simone Oliveto, Dirk Sudholt, Carsten Witt. 945-952 [doi]
- Rigorous analyses of fitness-proportional selection for optimizing linear functionsEdda Happ, Daniel Johannsen, Christian Klein, Frank Neumann. 953-960 [doi]
- On selecting the best individual in noisy environmentsWojciech Jaskowski, Wojciech Kotlowski. 961-968 [doi]
- The node-depth encoding: analysis and application to the bounded-diameter minimum spanning tree problemTelma Woerle de Lima, Franz Rothlauf, Alexandre C. B. Delbem. 969-976 [doi]
- Adaptive discretization on multidimensional continuous search spacesJiun-Jiue Liou, Ying-Ping Chen. 977-984 [doi]
- Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensembleXavier Llorà, Noriko Imafuji Yasui, David E. Goldberg. 985-992 [doi]
- Voronoi-initializated island models for solving real-coded deceptive problemsSantiago Muelas, José Manuel Peña, Víctor Robles, Antonio LaTorre. 993-1000 [doi]
- Theoretical analysis of genetic algorithms in noisy environments based on a Markov ModelTakehiko Nakama. 1001-1008 [doi]
- Theory of the simple genetic algorithm with alpha-selectionAndré Neubauer. 1009-1016 [doi]
- Non-genetic transmission of memes by diffusionQuang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim. 1017-1024 [doi]
- Dual-population genetic algorithm for nonstationary optimizationTaejin Park, Ri Choe, Kwang Ryel Ryu. 1025-1032 [doi]
- Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapesMartin Pelikan. 1033-1040 [doi]
- A transformation-based approach to static multiprocessor schedulingAlan Sheahan, Conor Ryan. 1041-1048 [doi]
- ASAGA: an adaptive surrogate-assisted genetic algorithmLiang Shi, Khaled Rasheed. 1049-1056 [doi]
- CrossNet: a framework for crossover with network-based chromosomal representationsForrest Stonedahl, William Rand, Uri Wilensky. 1057-1064 [doi]
- Adapting palettes to color vision deficiencies by genetic algorithmLuigi Troiano, Cosimo Birtolo, Maria Miranda. 1065-1072 [doi]
- Empirical investigations on parallel competent genetic algorithmsMiwako Tsuji, Masaharu Munetomo, Kiyoshi Akama. 1073-1080 [doi]
- Strategic positioning in tactical scenario planningJames M. Whitacre, Hussein A. Abbass, Ruhul A. Sarker, Axel Bender, Stephen Baker. 1081-1088 [doi]
- Optimal sampling of genetic algorithms on polynomial regressionTian-Li Yu, Wei-Kai Lin. 1089-1096 [doi]
- Genetic algorithms with local search optimization for protein structure prediction problemIgor Berenboym, Mireille Avigal. 1097-1098 [doi]
- Cryptanalysis using genetic algorithmsKarel P. Bergmann, Renate Scheidler, Christian Jacob. 1099-1100 [doi]
- Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automataRon Breukelaar, Thomas Bäck. 1101-1102 [doi]
- Evolving machine microprogramsPedro A. Castillo Valdivieso, G. Fernandez, Antonio Mora, Juan Julián Merelo Guervós, José Luis Bernier, Alberto Prieto. 1103-1104 [doi]
- The effects of mutation and directed intervention crossover when applied to scheduling chemotherapyPaul M. Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall. 1105-1106 [doi]
- Analysis of the performance of genetic multi-step search in interpolation and extrapolation domainYoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki. 1107-1108 [doi]
- Learning offspring optimizing mate selectionEkaterina A. Holdener, Daniel R. Tauritz. 1109-1110 [doi]
- Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case studyHisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima. 1111-1112 [doi]
- Deriving evaluation metrics for applicability of genetic algorithms to optimization problemsHsinyi Jiang, Carl K. Chang. 1113-1114 [doi]
- Convergence analysis of quantum-inspired genetic algorithms with the population of a single individualMehrshad Khosraviani, Saadat Pour-Mozafari, Mohammad Mehdi Ebadzadeh. 1115-1116 [doi]
- Linear transformation in Pseudo-Boolean functionsYong-Hyuk Kim. 1117-1118 [doi]
- Using multiple offspring sampling to guide genetic algorithms to solve permutation problemsAntonio LaTorre, José Manuel Peña, Víctor Robles, Santiago Muelas. 1119-1120 [doi]
- Optinformatics for schema analysis of binary genetic algorithmsMinh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen. 1121-1122 [doi]
- A practical search index and population size analysis based on the building block hypothesisZhenhua Li, Erik D. Goodman. 1123-1124 [doi]
- The micro-genetic operator in the search of global trendsFlávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi. 1125-1126 [doi]
- Maintaining diversity through adaptive selection, crossover and mutationBrian McGinley, Fearghal Morgan, Colm O Riordan. 1127-1128 [doi]
- Using PCA to improve evolutionary cellular automata algorithmsMehran Najafi, Hamid Beigy. 1129-1130 [doi]
- Comparing genetic algorithm and guided local search methods by symmetric TSP instancesMehrdad Nojoumian, Divya K. Nair. 1131-1132 [doi]
- Parameter-less evolutionary searchGregor Papa. 1133-1134 [doi]
- Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteinsGreg Paperin. 1135-1136 [doi]
- Community detection in social networks with genetic algorithmsClara Pizzuti. 1137-1138 [doi]
- Solving discrete deceptive problems with EMMRSJosé L. Risco-Martín, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica. 1139-1140 [doi]
- Genetic algorithms for self-spreading nodes in MANETsCem Safak Sahin, Elkin Urrea, M. Ümit Uyar, Ibrahim Hökelek, Michael Conner, Giorgio Bertoli, Christian Pizzo. 1141-1142 [doi]
- Improving small population performance under noise with viral infection + tropismYuji Sato, David E. Goldberg, Kumara Sastry. 1143-1144 [doi]
- Image registration using genetic algorithmsFlávio Luiz Seixas, Luiz Satoru Ochi, Aura Conci, Débora C. Muchaluat-Saade. 1145-1146 [doi]
- Is best-so-far a good algorithmic performance metric?Nathaniel P. Troutman, Brent E. Eskridge, Dean F. Hougen. 1147-1148 [doi]
- Coordinate change operators for genetic algorithmsElizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi. 1149-1150 [doi]
- Modularity and symmetry in computational embryogenyOr Yogev, Andrew A. Shapiro, Erik K. Antonsson. 1151-1152 [doi]
- Comparing genetic algorithms to principal component analysis and linear discriminant analysis in reducing feature dimensionality for speaker recognitionMaider Zamalloa, Luis Javier Rodríguez, Mikel Peñagarikano, Germán Bordel, Juan Pedro Uribe. 1153-1154 [doi]
- Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacingAlexandros Agapitos, Matthew Dyson, Simon M. Lucas, Francisco Sepulveda. 1155-1162 [doi]
- On the genetic programming of time-series predictors for supply chain managementAlexandros Agapitos, Matthew Dyson, Jenya Kovalchuk, Simon M. Lucas. 1163-1170 [doi]
- Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classificationDouglas A. Augusto, Helio J. C. Barbosa, Nelson F. F. Ebecken. 1171-1178 [doi]
- Automated shape composition based on cell biology and distributed genetic programmingLinge Bai, Manolya Eyiyurekli, David E. Breen. 1179-1186 [doi]
- Genetic programming with polymorphic types and higher-order functionsFranck Binard, Amy P. Felty. 1187-1194 [doi]
- Using differential evolution for symbolic regression and numerical constant creationBrian M. Cerny, Peter C. Nelson, Chi Zhou. 1195-1202 [doi]
- Accelerating genetic programming by frequent subtree miningYoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata. 1203-1210 [doi]
- Evolutionary lossless compression with GP-ZIP*Ahmad Kattan, Riccardo Poli. 1211-1218 [doi]
- Advanced techniques for the creation and propagation of modules in cartesian genetic programmingPaul Kaufmann, Marco Platzner. 1219-1226 [doi]
- Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programmingRajeev Kumar, Ashwin H. Joshi, Krishna K. Banka, Peter Rockett. 1227-1234 [doi]
- Memory with memory: soft assignment in genetic programmingNicholas Freitag McPhee, Riccardo Poli. 1235-1242 [doi]
- Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networksAntonio Mora García, Pedro A. Castillo Valdivieso, Juan Julián Merelo Guervós, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman. 1243-1250 [doi]
- Exploiting the path of least resistance in evolutionGearoid Murphy, Conor Ryan. 1251-1258 [doi]
- Analysis of a genetic programming algorithm for association studiesRobin Nunkesser. 1259-1266 [doi]
- Parsimony pressure made easyRiccardo Poli, Nicholas Freitag McPhee. 1267-1274 [doi]
- The impact of population size on code growth in GP: analysis and empirical validationRiccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi. 1275-1282 [doi]
- Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representationLeonardo Bruno de Sá, Antonio Mesquita. 1283-1290 [doi]
- Genetic programming for finite algebrasLee Spector, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein. 1291-1298 [doi]
- Multiobjective design of operators that detect points of interest in imagesLeonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega. 1299-1306 [doi]
- A genetic programming approach to business process miningChris J. Turner, Ashutosh Tiwari, Jörn Mehnen. 1307-1314 [doi]
- Rapid prediction of optimum population size in genetic programming using a novel genotype -: fitness correlationDavid C. Wedge, Douglas B. Kell. 1315-1322 [doi]
- An analysis of multi-sampled issue and no-replacement tournament selectionHuayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnson. 1323-1330 [doi]
- Generalization performance of vision based controllers for mobile robots evolved with genetic programmingRenaud Barate, Antoine Manzanera. 1331-1332 [doi]
- Combining cartesian genetic programming with an estimation of distribution algorithmJanet Clegg. 1333-1334 [doi]
- A formulation for the relative permittivity of water and steam to high temperatures and pressures evolved using genetic programmingSergey V. Fogelson, Walter D. Potter. 1335-1336 [doi]
- Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ::::k::a::/k::s::::::Ting Hu, Wolfgang Banzhaf. 1337-1338 [doi]
- TREAD: a new genetic programming representation aimed at research of long term complexity growthTony E. Lewis, George D. Magoulas. 1339-1340 [doi]
- Stress-based crossover operator for structure topology optimization using small population size and variable length chromosomeCuimin Li, Tomoyuki Hiroyasu, Mitsunori Miki. 1341-1342 [doi]
- Elitism reduces bloat in genetic programmingRiccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi. 1343-1344 [doi]
- A swarm-based crossover operator for genetic programmingTony White, Amirali Salehi-Abari. 1345-1346 [doi]
- Experiments with indexed FOR-loops in genetic programmingGayan Wijesinghe, Victor Ciesielski. 1347-1348 [doi]
- An analysis of matching in learning classifier systemsMartin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono. 1349-1356 [doi]
- Context-dependent predictions and cognitive arm control with XCSFMartin V. Butz, Oliver Herbort. 1357-1364 [doi]
- Self-adaptive mutation in XCSFMartin V. Butz, Patrick Stalph, Pier Luca Lanzi. 1365-1372 [doi]
- An efficient SVM-GA feature selection model for large healthcare databasesRick Chow, Wei Zhong, Michael Blackmon, Richard Stolz, Marsha Dowell. 1373-1380 [doi]
- Genetic-guided semi-supervised clustering algorithm with instance-level constraintsYi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren. 1381-1388 [doi]
- Self-adaptive constructivism in Neural XCS and XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. 1389-1396 [doi]
- Accelerating neuroevolutionary methods using a Kalman filterYohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner. 1397-1404 [doi]
- Evolving neural networks for fractured domainsNate Kohl, Risto Miikkulainen. 1405-1412 [doi]
- Hierarchical evolution of linear regressorsFrancesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla. 1413-1420 [doi]
- Fast rule representation for continuous attributes in genetics-based machine learningJaume Bacardit, Natalio Krasnogor. 1421-1422 [doi]
- Overfitting in the selection of classifier ensembles: a comparative study between PSO and GAEulanda Miranda dos Santos, Luiz S. Oliveira, Robert Sabourin, Patrick Maupin. 1423-1424 [doi]
- Towards efficient online reinforcement learning using neuroevolutionJan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun. 1425-1426 [doi]
- Genetic local search for rule learningCristiano Grijó Pitangui, Gerson Zaverucha. 1427-1428 [doi]
- Imitation-based evolution of artificial players in modern computer gamesSteffen Priesterjahn. 1429-1430 [doi]
- Real-time imitation-based adaptation of gaming behaviour in modern computer gamesSteffen Priesterjahn, Alexander Weimer, Markus Eberling. 1431-1432 [doi]
- A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actionsJosé A. Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín. 1433-1434 [doi]
- Fine-grained population diversity estimation for genetic programming based structure identificationStephan M. Winkler, Michael Affenzeller, Stefan Wagner 0002. 1435-1436 [doi]
- Computational scenario-based capability planningHussein A. Abbass, Axel Bender, Hai Huong Dam, Stephen Baker, James M. Whitacre, Ruhul A. Sarker. 1437-1444 [doi]
- Design of fractional order PI:::lambda:::D:::µ::: controllers with an improved differential evolutionAjith Abraham, Arijit Biswas, Swagatam Das, Sambarta Dasgupta. 1445-1452 [doi]
- Evolving similarity functions for code plagiarism detectionVictor Ciesielski, Nelson Wu, Seyed M. M. Tahaghoghi. 1453-1460 [doi]
- The gene regulatory network: an application to optimal coverage in sensor networksSanjoy Das, Praveen Koduru, Xinye Cai, Stephen Welch, Venkatesh Sarangan. 1461-1468 [doi]
- Genetic algorithms for mentor-assisted evaluation function optimizationOmid David-Tabibi, Moshe Koppel, Nathan S. Netanyahu. 1469-1476 [doi]
- Evolutionary path planner for UAVs in realistic environmentsJesús Manuel de la Cruz, Eva Besada-Portas, Luis Torre-Cubillo, Bonifacio Andres-Toro, José Antonio López Orozco. 1477-1484 [doi]
- EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial compositesBen George, Stuart J. Gibson, Matthew I. S. Maylin, Christopher J. Solomon. 1485-1490 [doi]
- Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimizationChristian Grimme, Joachim Lepping, Alexander Papaspyrou. 1491-1498 [doi]
- 3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithmsIsil Hasircioglu, Haluk Rahmi Topcuoglu, Murat Ermis. 1499-1506 [doi]
- Multiobjective robustness for portfolio optimization in volatile environmentsGhada Hassan, Christopher D. Clack. 1507-1514 [doi]
- Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systemsJosé Ignacio Hidalgo, José L. Risco-Martín, David Atienza, Juan Lanchares. 1515-1522 [doi]
- Fault tolerant control using Cartesian genetic programmingYoshikazu Hirayama, Tim Clarke, Julian Francis Miller. 1523-1530 [doi]
- Eye on the prize: using overt visual attention to drive fitness for interactive evolutionary computationTim Holmes, Johannes Zanker. 1531-1538 [doi]
- An evolutionary design technique for collective communications on optimal diameter-degree networksJirí Jaros, Vaclav Dvorak. 1539-1546 [doi]
- Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer managementRatiba Kabli, John McCall, Frank Herrmann, Eng Ong. 1547-1554 [doi]
- Evolutionary algorithms for automated drug design towards target molecule propertiesJohannes W. Kruisselbrink, Thomas Bäck, Adriaan P. IJzerman, Eelke van der Horst. 1555-1562 [doi]
- Using coevolution to understand and validate game balance in continuous gamesRyan E. Leigh, Justin Schonfeld, Sushil J. Louis. 1563-1570 [doi]
- MLS security policy evolution with genetic programmingYow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John Andrew Clark. 1571-1578 [doi]
- Metaheuristics for solving a real-world frequency assignment problem in GSM networksFrancisco Luna, César Estébanez, Coromoto León, José M. Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Antonio J. Nebro, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido. 1579-1586 [doi]
- Optimizing hierarchical menus by genetic algorithm and simulated annealingShouichi Matsui, Seiji Yamada. 1587-1594 [doi]
- Multi-resistant radar jamming using genetic algorithmsHans Jonas Fossum Moen, Stein Kristoffersen. 1595-1602 [doi]
- Genetic algorithms and the abc music notation language for rock music compositionTomasz Michal Oliwa. 1603-1610 [doi]
- Efficiency optimization of a multi-pump booster systemGerulf K. M. Pedersen, Zhenyu Yang. 1611-1618 [doi]
- Estimation of pump-curves using genetic algorithmsGerulf K. M. Pedersen, Zhenyu Yang. 1619-1626 [doi]
- VoIP speech quality estimation in a mixed context with genetic programmingAdil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan. 1627-1634 [doi]
- Speeding online synthesis via enforced selecto-recombinationShunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg. 1635-1642 [doi]
- Branch predictor on-line evolutionary systemKarel Slany. 1643-1648 [doi]
- Robust method of detecting moving objects in videos evolved by genetic programmingAndy Song, Danny Fang. 1649-1656 [doi]
- An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP modelNeal Wagner, Zbigniew Michalewicz. 1657-1664 [doi]
- GP age-layer and crossover effects in bid-offer spread predictionAmy Willis, Suneer Patel, Christopher D. Clack. 1665-1672 [doi]
- Combatting financial fraud: a coevolutionary anomaly detection approachShelly Xiaonan Wu, Wolfgang Banzhaf. 1673-1680 [doi]
- Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisationWei Yan, Martin Victor Sewell, Christopher D. Clack. 1681-1688 [doi]
- The study for transportation planning considered the inventory using hybrid genetic algorithmShinichiro Ataka, Mitsuo Gen. 1689-1690 [doi]
- On the partitioning of dynamic scheduling problems -: assigning technicians to areasYossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris. 1691-1692 [doi]
- Construction of portfolio optimization system using genetic network programming with control nodesYan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa. 1693-1694 [doi]
- Automatic circle detection on images with an adaptive bacterial foraging algorithmSambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham. 1695-1696 [doi]
- An evolutionary approach for competency-based curriculum sequencingLuis de Marcos, José-Javier Martínez, José Antonio Gutiérrez, Roberto Barchino, José María Gutiérrez. 1697-1698 [doi]
- Evolution strategy based optimization of on-demand dependent data broadcast schedulingRinku Dewri, Darrell Whitley, Indrakshi Ray, Indrajit Ray. 1699-1700 [doi]
- Automatic generation of XSLT stylesheets using evolutionary algorithmsPablo García-Sánchez, Juan Julián Merelo Guervós, Juan P. Sevilla, Juan Luís Jiménez Laredo, Antonio Miguel Mora, Pedro A. Castillo Valdivieso. 1701-1702 [doi]
- Genetic algorithm in removing local NURBS surface irregularities using highlight linesGyorgy Gyurecz. 1703-1704 [doi]
- Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomographyShyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore. 1705-1706 [doi]
- Designing a multistage reverse logistics network problem by hybrid genetic algorithmJeong Eun Lee, Mitsuo Gen, Kyong-gu Rhee. 1707-1708 [doi]
- Stock trading strategies by genetic network programming with flag nodesShingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hirasawa. 1709-1710 [doi]
- Genetic algorithms and solutions of an interesting differential equationPaul E. MacNeil. 1711-1712 [doi]
- A hybrid system using PSO and data mining for determining the ranking of a new participant in EurovisionAlberto Ochoa Ortíz, Angel E. Muñoz Zavala, Arturo Hernández Aguirre. 1713-1714 [doi]
- Varying portfolio construction of stocks using genetic network programming with control nodesEtsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa. 1715-1716 [doi]
- Evolutionary algorithm for decryption of monoalphabetic homophonic substitution ciphers encoded as constraint satisfaction problemsDavid Oranchak. 1717-1718 [doi]
- IGAP: interactive genetic algorithm peer to peerJuan C. Quiroz, Amit Banerjee, Sushil J. Louis. 1719-1720 [doi]
- Dependencies on player formation in event-driven hybrid learning classifier systems for soccer video gamesYuji Sato, Ryosuke Suzuki, Yosuke Akatsuka. 1721-1722 [doi]
- A domain-specific crossover and a helper objective for generating minimum weight compliant mechanismsDeepak Sharma, Kalyanmoy Deb, N. N. Kishore. 1723-1724 [doi]
- Prediction of retention times for a large set of pesticides based on improved gene expression programmingKejun Zhang, Shouqian Sun, Hongzong Si. 1725-1726 [doi]
- Searching for liveness property violations in concurrent systems with ACOEnrique Alba, J. Francisco Chicano. 1727-1734 [doi]
- Finding deadlocks in large concurrent Java programs using genetic algorithmsEnrique Alba, J. Francisco Chicano, Marco Ferreira, Juan Antonio Gómez Pulido. 1735-1742 [doi]
- Empirical analysis of a genetic algorithm-based stress test techniqueVahid Garousi. 1743-1750 [doi]
- Avida-MDE: a digital evolution approach to generating models of adaptive software behaviorHeather Goldsby, Betty H. C. Cheng. 1751-1758 [doi]
- Handling dynamic data structures in search based testingKiran Lakhotia, Mark Harman, Phil McMinn. 1759-1766 [doi]
- Fitness calculation approach for the switch-case construct in evolutionary testingYan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin, Xiyang Liu. 1767-1774 [doi]
- Searching for resource-efficient programs: low-power pseudorandom number generatorsDavid Robert White, John Clark, Jeremy Jacob, Simon M. Poulding. 1775-1782 [doi]
- Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problemsJosé Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega. 1783-1784 [doi]
- Agent-based support for interactive search in conceptual software engineering designChristopher L. Simons, Ian C. Parmee. 1785-1786 [doi]