Abstract is missing.
- Particle swarm optimization with triggered mutation and its implementation based on GPUYou Zhou, Ying Tan. 1-8 [doi]
- Particle swarm optimizer with self-adjusting neighborhoodsZiyu Chen, Zhongshi He, Cheng Zhang. 9-14 [doi]
- An empirical comparison of parallel and distributed particle swarm optimization methodsLeonardo Vanneschi, Daniele Codecasa, Giancarlo Mauri. 15-22 [doi]
- An ant-colony-system-based activity scheduling method for the lifetime maximization of heterogeneous wireless sensor networksYing Lin, Xiaomin Hu, Jun Zhang. 23-30 [doi]
- Pheromone-distribution-based adaptive ant colony systemWei jie Yu, Jun Zhang. 31-38 [doi]
- Self-adaptive differential evolution based on PSO learning strategyZhi-hui Zhan, Jun Zhang. 39-46 [doi]
- Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networksNyree Lemmens, Karl Tuyls. 47-54 [doi]
- Development of efficient particle swarm optimizers by using concepts from evolutionary algorithmsKalyanmoy Deb, Nikhil Padhye. 55-62 [doi]
- A few ants are enough: ACO with iteration-best updateFrank Neumann, Dirk Sudholt, Carsten Witt. 63-70 [doi]
- The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSPManuel López-Ibáñez, Thomas Stützle. 71-78 [doi]
- Honey-bee dancing-inspired architecture for fault tolerance in wireless sensor networksSarah Salim, Mohsin Javed, Ali Hammad Akbar. 79-80 [doi]
- An parallel particle swarm optimization approach for multiobjective optimization problemsZhi-hui Zhan, Jun Zhang. 81-82 [doi]
- Particle swarm optimisation for outlier detectionAmmar W. Mohemmed, Mengjie Zhang, Will N. Browne. 83-84 [doi]
- Pseudo-hierarchical ant-based clustering using a heterogeneous agent hierarchy and automatic boundary formationJeremy B. Brown, Manfred Huber. 85-86 [doi]
- Cooperative self-organization in a heterogeneous swarm robotic systemFrederick Ducatelle, Gianni A. Di Caro, Luca Maria Gambardella. 87-94 [doi]
- Evolution of vision capabilities in embodied virtual creaturesMarcin L. Pilat, Christian Jacob. 95-102 [doi]
- Revising the evolutionary computation abstraction: minimal criteria novelty searchJoel Lehman, Kenneth O. Stanley. 103-110 [doi]
- Guarding against premature convergence while accelerating evolutionary searchJosh C. Bongard, Gregory S. Hornby. 111-118 [doi]
- Crossing the reality gap in evolutionary robotics by promoting transferable controllersSylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux. 119-126 [doi]
- Coevolution of heterogeneous multi-robot teamsMatt Knudson, Kagan Tumer. 127-134 [doi]
- Evolution of division of labor in genetically homogenous groupsHeather Goldsby, David B. Knoester, Charles Ofria. 135-142 [doi]
- Resource abundance promotes the evolution of public goods cooperationBrian D. Connelly, Benjamin E. Beckmann, Philip K. McKinley. 143-150 [doi]
- Morphological evolution of freeform robotsJonathan D. Hiller, Hod Lipson. 151-152 [doi]
- Neuronal replicators solve the stability-plasticity dilemmaChrisantha Fernando. 153-154 [doi]
- Protein structure prediction on a lattice model via multimodal optimization techniquesKa Chun Wong, Kwong-Sak Leung, Man Hon Wong. 155-162 [doi]
- On the use of genetic programming for the prediction of survival in cancerAntonella Farinaccio, Leonardo Vanneschi, Mario Giacobini, Giancarlo Mauri, Paolo Provero. 163-170 [doi]
- Challenges rising from learning motif evaluation functions using genetic programmingLeung-Yau Lo, Tak-Ming Chan, Kin-Hong Lee, Kwong-Sak Leung. 171-178 [doi]
- Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithmUday Kamath, Kenneth A. De Jong, Amarda Shehu. 179-186 [doi]
- P system model optimisation by means of evolutionary based search algorithmsCarlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, Manuel Lozano. 187-194 [doi]
- The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studiesRyan J. Urbanowicz, Jason H. Moore. 195-202 [doi]
- Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effectsEmily Rose Holzinger, Carrie C. Buchanan, Scott M. Dudek, Eric Torstenson, Stephen D. Turner, Marylyn D. Ritchie. 203-210 [doi]
- Efficient protein-ligand docking using sustainable evolutionary algorithmEmrah Atilgan, Jianjun Hu. 211-212 [doi]
- Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutationsJirí Kubalík, Petr Buryan, Libor Wagner. 213-214 [doi]
- Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing unitsNicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore. 215-216 [doi]
- An efficient algorithm for generalized minimum spanning tree problemHe Jiang, Yudong Chen. 217-224 [doi]
- Consultant-guided search: a new metaheuristic for combinatorial optimization problemsSerban Iordache. 225-232 [doi]
- A hierarchical cooperative evolutionary algorithmShelly Xiaonan Wu, Wolfgang Banzhaf. 233-240 [doi]
- On the generality of parameter tuning in evolutionary planningJacques Bibai, Pierre Savéant, Marc Schoenauer, Vincent Vidal. 241-248 [doi]
- Efficient stochastic local search algorithm for solving the shortest common supersequence problemJirí Kubalík. 249-256 [doi]
- Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approachTorsten Hildebrandt, Jens Heger, Bernd Scholz-Reiter. 257-264 [doi]
- Discrete versus continuous parametrization of bank credit rating systems optimization using differential evolutionK. M. Leung, Xi Zhang. 265-272 [doi]
- Heuristics for sampling repetitions in noisy landscapes with fitness cachingForrest Stonedahl, Susa H. Stonedahl. 273-280 [doi]
- An ant colony optimization approach to the multiple-choice multidimensional knapsack problemZhigang Ren, Zuren Feng. 281-288 [doi]
- Optimum design of grillage systems under code provisions using particle swarm optimizationErkan Dogan, Ferhat Erdal, Mehmet Polat Saka. 289-290 [doi]
- Beating exhaustive search at its own game: revisiting evolutionary mastermindJuan Julián Merelo Guervós, Antonio Miguel Mora, Thomas Philip Runarsson. 291-292 [doi]
- A framework for accelerating metaheuristics via pattern reductionChun-Wei Tsai, Shih-Pang Tseng, Ming-Chao Chiang, Chu-Sing Yang. 293-294 [doi]
- Effective heuristic methods for finding non-optimal solutions of interest in constrained optimization modelsSteven O. Kimbrough, Ann Kuo, Hoong Chuin Lau. 295-296 [doi]
- Problem-state representations in a hyper-heuristic approach for the 2D irregular BPPEunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón. 297-298 [doi]
- An evaluation of off-line calibration techniques for evolutionary algorithmsElizabeth Montero, María-Cristina Riff, Bertrand Neveu. 299-300 [doi]
- Solving OCST problems with problem-specific guided local searchWolfgang Steitz, Franz Rothlauf. 301-302 [doi]
- Spurious dependencies and EDA scalabilityElizabeth Radetic, Martin Pelikan. 303-310 [doi]
- Multivariate multi-model approach for globally multimodal problemsChung-Yao Chuang, Wen-Lian Hsu. 311-318 [doi]
- A robust estimation of distribution algorithm for power electronic circuits designJinghui Zhong, Jun Zhang. 319-326 [doi]
- Effective structure learning for EDA via L1-regularizedbayesian networksJiadong Yang, Hua Xu, Yunpeng Cai, Peifa Jia. 327-334 [doi]
- Entropy-based substructural local search for the bayesian optimization algorithmHoang N. Luong, Hai T. T. Nguyen, Chang Wook Ahn. 335-342 [doi]
- Entropy measurement-based estimation model for bayesian optimization algorithmHai T. T. Nguyen, Hoang N. Luong, Chang Wook Ahn. 343-350 [doi]
- The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimizationPeter A. N. Bosman. 351-358 [doi]
- D-vine EDA: a new estimation of distribution algorithm based on regular vinesRogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce. 359-366 [doi]
- A new DSM clustering algorithm for linkage groups identificationAmin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani. 367-368 [doi]
- On the analysis of self-adaptive evolution strategies on elliptic model: first resultsAlexander Melkozerov, Hans-Georg Beyer. 369-376 [doi]
- Fitting multi-planet transit models to photometric time-data series by evolution strategiesAndreas M. Chwatal, Günther R. Raidl, Michael Zöch. 377-384 [doi]
- Active covariance matrix adaptation for the (1+1)-CMA-ESDirk V. Arnold, Nikolaus Hansen. 385-392 [doi]
- Exponential natural evolution strategiesTobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber. 393-400 [doi]
- Tuning optimization algorithms for real-world problems by means of surrogate modelingMike Preuss, Günter Rudolph, Simon Wessing. 401-408 [doi]
- Adaptive strategy selection in differential evolutionWenyin Gong, Álvaro Fialho, Zhihua Cai. 409-416 [doi]
- Biogeography-based optimization with blended migration for constrained optimization problemsHaiping Ma, Dan Simon. 417-418 [doi]
- Pruning association rules using statistics and genetic relation algoritmEloy Gonzales, Shingo Mabu, Karla Taboada, Kotaro Hirasawa, Kaoru Shimada. 419-420 [doi]
- Forced optimal covariance adaptive learning: modified CMA-ES for efficient hessian determinationOfer M. Shir, Jonathan Roslund, Herschel Rabitz. 421-422 [doi]
- A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimizationRuochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma. 423-430 [doi]
- Deterministic helper-objective sequences applied to job-shop schedulingDarrell F. Lochtefeld, Frank W. Ciarallo. 431-438 [doi]
- Evolving agent behavior in multiobjective domains using fitness-based shapingJacob Schrum, Risto Miikkulainen. 439-446 [doi]
- Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approachKalyanmoy Deb, Amit Saha. 447-454 [doi]
- Integrating decision space diversity into hypervolume-based multiobjective searchTamara Ulrich, Johannes Bader, Eckart Zitzler. 455-462 [doi]
- A grid-based fitness strategy for evolutionary many-objective optimizationMiqing Li, Jinhua Zheng, Ruimin Shen, Ke Li, Qizhao Yuan. 463-470 [doi]
- A mono surrogate for multiobjective optimizationIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 471-478 [doi]
- An archived-based stochastic ranking evolutionary algorithm (asrea) for multi-objective optimizationDeepak Sharma, Pierre Collet. 479-486 [doi]
- Improved step size adaptation for the MO-CMA-ESThomas Voß, Nikolaus Hansen, Christian Igel. 487-494 [doi]
- Set-based multi-objective optimization, indicators, and deteriorative cyclesRudolf Berghammer, Tobias Friedrich, Frank Neumann. 495-502 [doi]
- DBSCAN-based multi-objective niching to approximate equivalent pareto-subsetsOliver Kramer, Holger Danielsiek. 503-510 [doi]
- The maximum hypervolume set yields near-optimal approximationKarl Bringmann, Tobias Friedrich. 511-518 [doi]
- Simultaneous use of different scalarizing functions in MOEA/DHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima. 519-526 [doi]
- Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functionsHisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima. 527-534 [doi]
- Multiobjective evolutionary community detection for dynamic networksFrancesco Folino, Clara Pizzuti. 535-536 [doi]
- A multi-objective meta-model assisted memetic algorithm with non gradient-based local searchSaúl Zapotecas Martínez, Carlos A. Coello Coello. 537-538 [doi]
- Exploring evolutionary detected fuzzy equilibria: a link between normative theory and real lifeD. Dumitrescu, Rodica Ioana Lung, Réka Nagy, Daniela Zaharie, Attila Bartha. 539-540 [doi]
- Enhanced hospital resource management using anticipatory policies in online dynamic multi-objective optimizationAnke K. Hutzschenreuter, Peter A. N. Bosman, Han La Poutré. 541-542 [doi]
- Age-fitness pareto optimizationMichael D. Schmidt, Hod Lipson. 543-544 [doi]
- Moving away from error-based learning in multi-objective estimation of distribution algorithmsLuis Martí, Jesús García, Antonio Berlanga, José M. Molina. 545-546 [doi]
- Transfer learning through indirect encodingPhillip Verbancsics, Kenneth O. Stanley. 547-554 [doi]
- The baldwin effect in developing neural networksKeith L. Downing. 555-562 [doi]
- Evolving the placement and density of neurons in the hyperneat substrateSebastian Risi, Joel Lehman, Kenneth O. Stanley. 563-570 [doi]
- Evolving heterochrony for cellular differentiation using vector field embryogenyTill Steiner, Yaochu Jin, Bernhard Sendhoff. 571-578 [doi]
- Self modifying cartesian genetic programming: finding algorithms that calculate pi and e to arbitrary precisionSimon Harding, Julian F. Miller, Wolfgang Banzhaf. 579-586 [doi]
- Importing the computational neuroscience toolbox into neuro-evolution-application to basal gangliaJean-Baptiste Mouret, Stéphane Doncieux, Benoît Girard. 587-594 [doi]
- Image compression of natural images using artificial gene regulatory networksMartin Trefzer, Tüze Kuyucu, Julian F. Miller, Andy M. Tyrrell. 595-602 [doi]
- Neuroevolution of mobile ad hoc networksDavid B. Knoester, Heather Goldsby, Philip K. McKinley. 603-610 [doi]
- Sustaining behavioral diversity in NEATHirotaka Moriguchi, Shinichi Honiden. 611-618 [doi]
- Evolving neural networks in compressed weight spaceJan Koutnik, Faustino J. Gomez, Jürgen Schmidhuber. 619-626 [doi]
- Evolving CPPNs to grow three-dimensional physical structuresJoshua E. Auerbach, Josh C. Bongard. 627-634 [doi]
- Investigating whether hyperNEAT produces modular neural networksJeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria. 635-642 [doi]
- Morphological scaffolding: how evolution and development improve robot behavior generationJosh C. Bongard. 643-644 [doi]
- NEATfields: evolution of neural fieldsBenjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter. 645-646 [doi]
- A developmental algorithm for multi-agent swarms with scalable hierarchiesTerence Soule, Robert B. Heckendorn. 647-648 [doi]
- Approaches to multidimensional scaling for adaptive landscape visualizationRobert Collier, Mark Wineberg. 649-656 [doi]
- Breaking ties with secondary fitness in a genetic algorithm for the bin packing problemJustin Benjamin, Bryant A. Julstrom. 657-664 [doi]
- NK landscapes, problem difficulty, and hybrid evolutionary algorithmsMartin Pelikan. 665-672 [doi]
- Complex energy landscape mapping by histogram assisted genetic algorithmWenjin Chen, Kwok Yip Szeto. 673-680 [doi]
- Analysis of the effects of lifetime learning on population fitness using vose modelRoi Yehoshua, Mireille Avigal, Ron Unger. 681-688 [doi]
- Investigating EA solutions for approximate KKT conditions in smooth problemsRupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta. 689-696 [doi]
- Co-evolution of cooperative strategies under egoismTa-Chun Lien, Tian-Li Yu, Ying-Shiuan You. 697-704 [doi]
- Aging beyond restartsThomas Jansen, Christine Zarges. 705-712 [doi]
- Network crossover performance on NK landscapes and deceptive problemsMark Hauschild, Martin Pelikan. 713-720 [doi]
- Optimizing genetic operator rates using a markov chain model of genetic algorithmsFatemeh Vafaee, György Turán, Peter C. Nelson. 721-728 [doi]
- A heuristic-based hybrid genetic algorithm for heterogeneous multiprocessor schedulingYun Wen, Hua Xu, Jiadong Yang. 729-736 [doi]
- Solving multiobjective flexible job-shop scheduling using an adaptive representationPrakarn Unachak, Erik D. Goodman. 737-742 [doi]
- A hybrid genetic algorithm for automatic graph drawing based on the topology-shape-metric approachBernadete Maria de Mendonça Neta, Gustavo Henrique Diniz Araujo, Frederico Gadelha Guimarães, Renato Cardoso Mesquita. 743-750 [doi]
- Probabilistic performance profiles for the experimental evaluation of stochastic algorithmsAndré da Motta Salles Barreto, Heder S. Bernardino, Helio J. C. Barbosa. 751-758 [doi]
- Edge-based representation beats vertex-based representation in shortest path problemsBenjamin Doerr, Daniel Johannsen. 759-766 [doi]
- Toward comparison-based adaptive operator selectionÁlvaro Fialho, Marc Schoenauer, Michèle Sebag. 767-774 [doi]
- Generalized crowding for genetic algorithmsSeverino F. Galán, Ole J. Mengshoel. 775-782 [doi]
- Coevolving influence maps for spatial team tactics in a RTS gamePhillipa Avery, Sushil Louis. 783-790 [doi]
- Phenotype feedback genetic algorithm operators for heuristic encoding of snakes within hypercubesBenjamin P. Carlson, Dean F. Hougen. 791-798 [doi]
- Applying the triple parameter hypothesis to maintenance schedulingJohn Crofford, Brent E. Eskridge, Dean F. Hougen. 799-806 [doi]
- An exploration into dynamic population sizingJason E. Cook, Daniel R. Tauritz. 807-814 [doi]
- The K-bit-swap: a new genetic algorithm operatorAram Ter-Sarkisov, Stephen R. Marsland, Barbara R. Holland. 815-816 [doi]
- EvoBassComposer: a multi-objective genetic algorithm for 4-voice compositionsRoberto De Prisco, Gianluca Zaccagnino, Rocco Zaccagnino. 817-818 [doi]
- Adaptive genetic algorithm using harmony searchFarhad Nadi, Ahamad Tajudin Abdul Khader, Mohammed Azmi Al-Betar. 819-820 [doi]
- Hybrid evolutionary algorithm of planning VLSIVictor Kureichik, Boris K. Lebedev, Oleg B. Lebedev. 821-822 [doi]
- Using a Meta-GA for parametric optimization of simple gas in the computational chemistry domainMatthew A. Addicoat, Zoe E. Brain. 823-824 [doi]
- Mixed-coded evolutionary algorithm for Gaussian mixture maximum likelihood clustering with model selectionHazem M. Abbas. 825-826 [doi]
- Evolutionary detection of aumann equilibriumD. Dumitrescu, Rodica Ioana Lung, Noémi Gaskó, Tudor Dan Mihoc. 827-828 [doi]
- Genetic evolution of fuzzy finite state machines to control bots in a first-person shooter gameAnna Isabel Esparcia-Alcázar, Anaís Martínez-García, Antonio Miguel Mora, Juan Julián Merelo Guervós, Pablo García-Sánchez. 829-830 [doi]
- Why recombination should be adaptivePatricia Ortegon-Cano, Diego A. Hartasanchez, Christopher R. Stephens. 831-832 [doi]
- Noise pressure: systematic overestimation of population fitness in genetic algorithms with noisy fitness functionsTimothy Meekhof, Terence Soule. 833-834 [doi]
- Amount and type of information: a GA-hardness taxonomyJuan Arturo Herrera Ortiz, Carlos Oliver-Morales, Katya Rodríguez-Vázquez. 835-836 [doi]
- Efficiently evolving programs through the search for noveltyJoel Lehman, Kenneth O. Stanley. 837-844 [doi]
- AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced dataUrvesh Bhowan, Mengjie Zhang, Mark Johnston. 845-852 [doi]
- Symbiosis, complexification and simplicity under GPPeter Lichodzijewski, Malcolm I. Heywood. 853-860 [doi]
- The estimation of hölderian regularity using genetic programmingLeonardo Trujillo, Pierrick Legrand, Jacques Lévy Véhel. 861-868 [doi]
- Semantics based crossover for boolean problemsNguyen Quang Uy, Nguyen Xuan Hoai, Michael O Neill, Bob McKay. 869-876 [doi]
- Measuring bloat, overfitting and functional complexity in genetic programmingLeonardo Vanneschi, Mauro Castelli, Sara Silva. 877-884 [doi]
- New crossover operators in linear genetic programming for multiclass object classificationCarlton Downey, Mengjie Zhang, Will N. Browne. 885-892 [doi]
- Abstract functions and lifetime learning in genetic programming for symbolic regressionR. Muhammad Atif Azad, Conor Ryan. 893-900 [doi]
- Towards an understanding of locality in genetic programmingEdgar Galván López, James McDermott, Michael O Neill, Anthony Brabazon. 901-908 [doi]
- Grammar guided genetic programming for multiple instance learning: an experimental studyAmelia Zafra, Sebastián Ventura. 909-916 [doi]
- Robust symbolic regression with affine arithmeticCassio Pennachin, Moshe Looks, João A. de Vasconcelos. 917-924 [doi]
- A probabilistic functional crossover operator for genetic programmingJosh C. Bongard. 925-932 [doi]
- Coevolutionary multi-population genetic programming for data classificationDouglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken. 933-940 [doi]
- Knowledge mining with genetic programming methods for variable selection in flavor designKatya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O Reilly. 941-948 [doi]
- Predicting solution rank to improve performanceMichael D. Schmidt, Hod Lipson. 949-956 [doi]
- Object-level recombination of commodity applicationsBlair Foster, Anil Somayaji. 957-964 [doi]
- Designing better fitness functions for automated program repairEthan Fast, Claire Le Goues, Stephanie Forrest, Westley Weimer. 965-972 [doi]
- Population restarting: a study case of feature extraction from remotely sensed imagery using textural informationHenrique G. Momm, Greg Easson. 973-974 [doi]
- Confidence intervals of success rates in evolutionary computationDavid F. Barrero, David Camacho, María D. R-Moreno. 975-976 [doi]
- Improved forecasting of time series data of real system using genetic programmingDilip P. Ahalpara. 977-978 [doi]
- A novel genetic programming based morphological image analysis algorithmJun Wang, Ying Tan. 979-980 [doi]
- Incremental evolution of local search heuristicsDara Curran, Eugene C. Freuder, Thomas Jansen. 981-982 [doi]
- When does Cartesian genetic programming minimize the phenotype size implicitly?Zbysek Gajda, Lukás Sekanina. 983-984 [doi]
- Model selection in genetic programmingCruz E. Borges, César Luis Alonso, José L. Montaña. 985-986 [doi]
- Constant versus variable arity operators in genetic programmingMichael McMullin, Terence Soule. 987-988 [doi]
- GGGP-based method for modeling time series: operator selection, parameter optimization and expert evaluationFernando Alonso, Loïc Martínez, Agustín Santamaría, Aurora Pérez-Pérez, Juan Pedro Valente. 989-990 [doi]
- A first assessment of the use of extended relational alphabets in accuracy classifier systemsCarlos D. Toledo-Suárez. 991-998 [doi]
- Coevolution in a large search space using resource-limited nash memoryEdward P. Manning. 999-1006 [doi]
- Genetic rule extraction optimizing brier scoreUlf Johansson, Rikard König, Lars Niklasson. 1007-1014 [doi]
- Adaption of XCS to multi-learner predator/prey scenariosClemens Lode, Urban Richter, Hartmut Schmeck. 1015-1022 [doi]
- How XCS deals with rarities in domains with continuous attributesAlbert Orriols-Puig, Xavier Llorà, David E. Goldberg. 1023-1030 [doi]
- Multi-task evolutionary shaping without pre-specified representationsMatthijs Snel, Shimon Whiteson. 1031-1038 [doi]
- Speeding up the evaluation of evolutionary learning systems using GPGPUsMaría A. Franco, Natalio Krasnogor, Jaume Bacardit. 1039-1046 [doi]
- Negative selection algorithms without generating detectorsMaciej Liskiewicz, Johannes Textor. 1047-1054 [doi]
- In search of targeted-complexity problemsNúria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla. 1055-1062 [doi]
- A clonal selection clustering algorithm using pointed symmetry-based distance measureRuochen Liu, Hejun Ning, Wei Zhang, Licheng Jiao. 1063-1064 [doi]
- Learning classifier system using both labeled and unlabeled dataChi Su, Yang Gao, Chun Cao. 1065-1066 [doi]
- On the problems of using learning classifier systems for fraud detectionMohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun. 1067-1068 [doi]
- An estimation of distribution algorithm for the automatic generation of clustering algorithmsAruanda Simões Goncalves Meiguins, Alex Alves Freitas, Roberto Célio Limão de Oliveira, Samuel F. S. Junior, Bianchi Serique Meiguins. 1069-1070 [doi]
- Context-sensitive refinements for stochasticoptimization algorithms in inductive logic programmingPetr Buryan, Jirí Kubalík. 1071-1072 [doi]
- Emergence of competitive and cooperative behavior using coevolutionPadmini Rajagopalan, Aditya Rawal, Risto Miikkulainen. 1073-1074 [doi]
- Parallel FPGA-based implementation of scatter searchMaxwell Walton, Gary Gréwal, Gerarda Darlington. 1075-1082 [doi]
- Selection pressure and takeover time of distributed evolutionary algorithmsGabriel Luque, Enrique Alba. 1083-1088 [doi]
- GPU-based island model for evolutionary algorithmsThé Van Luong, Nouredine Melab, El-Ghazali Talbi. 1089-1096 [doi]
- Shared memory genetic algorithms in a multi-agent contextDana Vrajitoru. 1097-1104 [doi]
- The benefit of migration in parallel evolutionary algorithmsJörg Lässig, Dirk Sudholt. 1105-1112 [doi]
- Fast parallelization of differential evolution algorithm using MapReduceChi Zhou. 1113-1114 [doi]
- A method of association rule analysis for incomplete database using genetic network programmingKaoru Shimada, Kotaro Hirasawa. 1115-1122 [doi]
- A neuro-evolutionary approach to micro aerial vehicle controlMax Salichon, Kagan Tumer. 1123-1130 [doi]
- Interday foreign exchange trading using linear genetic programmingGarnett Carl Wilson, Wolfgang Banzhaf. 1139-1146 [doi]
- Optimization of the hölder image descriptor using a genetic algorithmLeonardo Trujillo, Pierrick Legrand, Gustavo Olague, Cynthia B. Pérez. 1147-1154 [doi]
- Evolutionary algorithms in large-scale open pit mine schedulingChristie Myburgh, Kalyanmoy Deb. 1155-1162 [doi]
- Constructing numerically stable real number codes using evolutionary computationAaron Garrett, Zizhong Chen, Daniel Eric Smith. 1163-1170 [doi]
- Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCsJirí Jaros, Vaclav Dvorak. 1171-1178 [doi]
- Multiobjective evolutionary algorithms for dynamic social network clusteringKeehyung Kim, R. I. (Bob) McKay, Byung Ro Moon. 1179-1186 [doi]
- Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimizationEdgar Reehuis, Thomas Bäck. 1187-1194 [doi]
- Evolving viral marketing strategiesForrest Stonedahl, William Rand, Uri Wilensky. 1195-1202 [doi]
- Selection mechanisms in memory consideration for examination timetabling with harmony searchMohammed Azmi Al-Betar, Ahamad Tajudin Abdul Khader, Farhad Nadi. 1203-1210 [doi]
- Malware detection based on dependency graph using hybrid genetic algorithmKeehyung Kim, Byung Ro Moon. 1211-1218 [doi]
- A new modular genetic programming for finding attractive technical patterns in stock marketsSeung-Kyu Lee, Byung Ro Moon. 1219-1226 [doi]
- Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolutionJosé Manuel Colmenar, José L. Risco-Martín, David Atienza, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares. 1227-1234 [doi]
- Biogeography-based optimization of neuro-fuzzy system parameters for diagnosis of cardiac diseaseMirela Ovreiu, Dan Simon. 1235-1242 [doi]
- Multi-objective optimization of doping profile in semiconductor designGiovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia. 1243-1250 [doi]
- Evolving robust controller parameters using covariance matrix adaptationGerulf K. M. Pedersen, Martin V. Butz. 1251-1258 [doi]
- Evolutionary multi-objective optimization and decision making for selective laser sinteringNikhil Padhye, Kalyanmoy Deb. 1259-1266 [doi]
- Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computationMarco Ceriani, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto, Antonino Tumeo. 1267-1274 [doi]
- ConBreO: a music performance rendering system using hybrid approach of IEC and automated evolutionMakoto Tanji, Hitoshi Iba. 1275-1282 [doi]
- On heuristics for two-sided matching: revisiting the stable marriage problem as a multiobjective problemSteven O. Kimbrough, Ann Kuo. 1283-1290 [doi]
- Evolutionary optimization of flavorsKalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O Reilly. 1291-1298 [doi]
- Using feature construction to avoid large feature spaces in text classificationElijah Mayfield, Carolyn Penstein Rosé. 1299-1306 [doi]
- Shorter, more reliable and valid tests by means of a genetic algorithmAlejandro Sierra, Vicente Ponsoda. 1307-1308 [doi]
- Optimization of an image set by genetic feature selection for real-time photomosaicsYoon-Seok Choi, Bon-Ki Koo, Byung Ro Moon. 1309-1310 [doi]
- Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluationToshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara. 1311-1312 [doi]
- A double-deck elevator systems controller with idle cage assignment algorithm using genetic network programmingLu Yu, Shingo Mabu, Jin Zhou, Shinji Eto, Kotaro Hirasawa. 1313-1314 [doi]
- A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecastingRicardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares. 1315-1316 [doi]
- Integrated pre-design step methodology based onmulti-objective evolutionary optimizationDavid Mosnier, Frédéric Gillot, Antoine Ducloux, Mohamed Ichchou. 1317-1318 [doi]
- Psychological preference-based optimization framework on the nurse scheduling problemYing-Shiuan You, Tian-Li Yu, Ta-Chun Lien. 1319-1320 [doi]
- Proposal of a multi-core processor architecture for effective evolutionary computationMikiko Sato, Yuji Sato, Mitaro Namiki. 1321-1322 [doi]
- Multi-objective optimization of process parameters in friction stir weldingCem Celal Tutum, Jesper Henri Hattel. 1323-1324 [doi]
- Mitigation strategies in epidemics: evolutionary optimization using a hierarchy of objective functionsSohini Roychoudhury, Sanjoy Das, Caterina M. Scoglio, Swagatam Das, Bijaya K. Panigrahi, Shyyam S. Pattnaik. 1325-1326 [doi]
- Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildingsRalph Evins, Philip Pointer, Ravi Vaidyanathan. 1327-1328 [doi]
- Towards drift correction in chemical sensors using an evolutionary strategyStephano Di Carlo, Ernesto Sánchez, Alberto Scionti, Giovanni Squillero, Alberto Paolo Tonda, Matteo Falasconi. 1329-1330 [doi]
- Performance evaluation of evolutionary algorithms for road detectionMuhammad Jamal Afridi, Salman Manzoor, Umer Rasheed, Mariam Ahmed, Kunwar Faraz. 1331-1332 [doi]
- Approximate backbone based multilevel algorithm for next release problemHe Jiang, Jifeng Xuan, Zhilei Ren. 1333-1340 [doi]
- On the use of genetic programming for automated refactoring and the introduction of design patternsAdam C. Jensen, Betty H. C. Cheng. 1341-1348 [doi]
- Search-based test data generation from stateflow statechartsAndreas Windisch. 1349-1356 [doi]
- Today/future importance analysisYuanyuan Zhang, Enrique Alba, Juan José Durillo, Sigrid Eldh, Mark Harman. 1357-1364 [doi]
- Factors affecting the use of genetic algorithms in test suite augmentationZhihong Xu, Myra B. Cohen, Gregg Rothermel. 1365-1372 [doi]
- Empirically studying the role of selection operators duringsearch-based test suite prioritizationAlexander P. Conrad, Robert S. Roos, Gregory M. Kapfhammer. 1373-1380 [doi]
- Superstate identification for state machines using search-based clusteringMathew Hall, Phil McMinn, Neil Walkinshaw. 1381-1388 [doi]
- Multiobjective evolutionary algorithm for software project portfolio optimizationThomas Kremmel, Jirí Kubalík, Stefan Biffl. 1389-1390 [doi]
- Coevolutionary automated software correctionJosh L. Wilkerson, Daniel Tauritz. 1391-1392 [doi]
- Ant colony optimization and the minimum cut problemTimo Kötzing, Per Kristian Lehre, Frank Neumann, Pietro Simone Oliveto. 1393-1400 [doi]
- Theoretical analysis of evolutionary computation on continuously differentiable functionsYouhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi. 1401-1408 [doi]
- Elementary landscapes of frequency assignment problemsL. Darrell Whitley, J. Francisco Chicano, Enrique Alba, Francisco Luna. 1409-1416 [doi]
- Necessary and sufficient conditions for success of the metropolis algorithm for optimizationSwagato Sanyal, Raja S, Somenath Biswas. 1417-1424 [doi]
- Elementary landscape decomposition of the quadratic assignment problemJ. Francisco Chicano, Gabriel Luque, Enrique Alba. 1425-1432 [doi]
- Can quantum search accelerate evolutionary algorithms?Daniel Johannsen, Piyush P. Kurur, Johannes Lengler. 1433-1440 [doi]
- Black-box search by unbiased variationPer Kristian Lehre, Carsten Witt. 1441-1448 [doi]
- Multiplicative drift analysisBenjamin Doerr, Daniel Johannsen, Carola Winzen. 1449-1456 [doi]
- Quasirandom evolutionary algorithmsBenjamin Doerr, Mahmoud Fouz, Carsten Witt. 1457-1464 [doi]
- Ant colony optimization for stochastic shortest path problemsChristian Horoba, Dirk Sudholt. 1465-1472 [doi]
- Definition of a crossover based distance for genetic algorithmsLuca Manzoni, Leonardo Vanneschi, Giancarlo Mauri. 1473-1474 [doi]
- Optimization speed and fair sets of functionsAndrea Valsecchi, Leonardo Vanneschi, Giancarlo Mauri. 1475-1476 [doi]
- Time series forecasting using a perturbative intelligent systemPaulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira. 1477-1478 [doi]