Abstract is missing.
- Adaptively choosing niching parameters in a PSOStefan Bird, Xiaodong Li. 3-10 [doi]
- An ant-based algorithm for finding degree-constrained minimum spanning treeThang Nguyen Bui, Catherine M. Zrncic. 11-18 [doi]
- An agent-based algorithm for generalized graph coloringsThang Nguyen Bui, ThanhVu H. Nguyen. 19-26 [doi]
- A new ant colony algorithm for multi-label classification with applications in bioinfomaticsAllen Chan, Alex Alves Freitas. 27-34 [doi]
- A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data setElon S. Correa, Alex Alves Freitas, Colin G. Johnson. 35-42 [doi]
- A new version of the ant-miner algorithm discovering unordered rule setsJames Smaldon, Alex Alves Freitas. 43-50 [doi]
- Particle swarm with speciation and adaptation in a dynamic environmentXiaodong Li, Jürgen Branke, Tim Blackwell. 51-58 [doi]
- Adaptive diversity in PSOChristopher K. Monson, Kevin D. Seppi. 59-66 [doi]
- The gregarious particle swarm optimizer (G-PSO)Srinivas Pasupuleti, Roberto Battiti. 67-74 [doi]
- PSO and multi-funnel landscapes: how cooperation might limit explorationAndrew M. Sutton, Darrell Whitley, Monte Lunacek, Adele E. Howe. 75-82 [doi]
- Introducing recombination with dynamic linkage discovery to particle swarm optimizationMing-chung Jian, Ying-Ping Chen. 85-86 [doi]
- Ant colony optimization technique for equilibrium assignment in congested transportation networksMatteo Matteucci, Lorenzo Mussone. 87-88 [doi]
- Dynamic fitness inheritance proportion for multi-objective particle swarm optimizationMargarita Reyes Sierra, Carlos A. Coello Coello. 89-90 [doi]
- The Brueckner network: an immobile sorting swarmWilliam A. Tozier, Michael R. Chesher, Tejinderpal S. Devgan. 91-92 [doi]
- Properties of the bersini experiment on self-assertionWerner Dilger, Steve Strangfeld. 95-102 [doi]
- A retrovirus inspired algorithm for virus detection & optimizationKenneth S. Edge, Gary B. Lamont, Richard A. Raines. 103-110 [doi]
- Applicability issues of the real-valued negative selection algorithmsZhou Ji, Dipankar Dasgupta. 111-118 [doi]
- Immune anomaly detection enhanced with evolutionary paradigmsMarek Ostaszewski, Franciszek Seredynski, Pascal Bouvry. 119-126 [doi]
- An artificial immune system and its integration into an organic middleware for self-protectionAndreas Pietzowski, Wolfgang Trumler, Theo Ungerer. 129-130 [doi]
- A dynamic approach to artificial immune systems utilizing neural networksStefan Schadwinkel, Werner Dilger. 131-132 [doi]
- Robustness analysis of genetic programming controllers for unmanned aerial vehiclesGregory J. Barlow, Choong K. Oh. 135-142 [doi]
- Comparing genetic robustness in generational vs. steady state evolutionary algorithmsJosh Jones, Terry Soule. 143-150 [doi]
- Memory analysis and significance test for agent behavioursDaeEun Kim. 151-158 [doi]
- Dominance hierarchies and social diversity in multi-agent systemsMichael Kirley. 159-166 [doi]
- Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networksHeejin Lim, Yoonsuck Choe. 167-174 [doi]
- A computational theory of adaptive behavior based on an evolutionary reinforcement mechanismJ. J. McDowell, Paul L. Soto, Jesse Dallery, Saule Kulubekova. 175-182 [doi]
- A method for parameter calibration and relevance estimation in evolutionary algorithmsVolker Nannen, A. E. Eiben. 183-190 [doi]
- Parisian evolution with honeybees for three-dimensional reconstructionGustavo Olague, Cesar Puente. 191-198 [doi]
- Adaption in distributed systems: an evolutionary approachStephan Otto, Stefan Kirn. 199-206 [doi]
- Emergent mating topologies in spatially structured genetic algorithmsJoshua L. Payne, Margaret J. Eppstein. 207-214 [doi]
- Modular thinking: evolving modular neural networks for visual guidance of agentsEhud Schlessinger, Peter J. Bentley, R. Beau Lotto. 215-222 [doi]
- Growth of self-canceling code in evolutionary systemsXue Zhong, Terence Soule. 223-228 [doi]
- Using a genetic algorithm to evolve cellular automata for 2D/3D computational developmentArturo Chavoya, Yves Duthen. 231-232 [doi]
- Genomic computing networks learn complex POMDPsDavid J. Montana, Eric {Van Wyk}, Marshall Brinn, Joshua Montana, Stephen Milligan. 233-234 [doi]
- The Baldwin effect under spatial isolation and autonomous reproductionH. L. Peng, J. C. Tay. 235-236 [doi]
- Using genetic programming to classify node positive patients in bladder cancerArpit A. Almal, Anirban P. Mitra, Ram H. Datar, Peter F. Lenehan, David W. Fry, Richard J. Cote, William P. Worzel. 239-246 [doi]
- Coordination number prediction using learning classifier systems: performance and interpretabilityJaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz. 247-254 [doi]
- Genetic programming for human oral bioavailability of drugsFrancesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi. 255-262 [doi]
- Inference of genetic networks using S-system: information criteria for model selectionNasimul Noman, Hitoshi Iba. 263-270 [doi]
- Identification of weak motifs in multiple biological sequences using genetic algorithmTopon Kumar Paul, Hitoshi Iba. 271-278 [doi]
- Comparing mathematical models on the problem of network inferenceChristian Spieth, Nadine Hassis, Felix Streichert. 279-286 [doi]
- The role of diverse populations in phylogenetic analysisTiffani L. Williams, Marc L. Smith. 287-294 [doi]
- Peptide data mining: from virtual design to knowledge extractionIgnasi Belda, Ivan Traus, Susana Gordo, Teresa Tarragó, Sergio Madurga, Xavier Llorà, Ernest Giralt. 297-298 [doi]
- A genetic algorithm with backtracking for protein structure predictionClayton Matthew Johnson, Anitha Katikireddy. 299-300 [doi]
- String transformation-based Bayesian classification or proteinsTimothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn. 301-302 [doi]
- A hybrid genetic search for multiple sequence alignmentSeung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon. 303-304 [doi]
- Comparing evolutionary algorithms on the problem of network inferenceChristian Spieth, Rene Worzischek, Felix Streichert. 305-306 [doi]
- Evolving boolean networks to find intervention points in dengue pathogenesisPhilip Tan, Joc Cing Tay. 307-308 [doi]
- Genetic algorithms are suitable for driving microbial ecosystems in desirable directionsFrederik P. J. Vandecasteele, Thomas F. Hess, Ronald L. Crawford. 309-310 [doi]
- DECA: dimension extracting coevolutionary algorithmEdwin D. de Jong, Anthony Bucci. 313-320 [doi]
- A game-theoretic investigation of selection methods in two-population coevolutionSevan G. Ficici. 321-328 [doi]
- Coevolution of neural networks using a layered pareto archiveGerman A. Monroy, Kenneth O. Stanley, Risto Miikkulainen. 329-336 [doi]
- The parallel Nash Memory for asymmetric gamesFrans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlassis. 337-344 [doi]
- Archive-based cooperative coevolutionary algorithmsLiviu Panait, Sean Luke, Joseph F. Harrison. 345-352 [doi]
- The effects of interaction frequency on the optimization performance of cooperative coevolutionElena Popovici, Kenneth A. De Jong. 353-360 [doi]
- Heterogeneous cooperative coevolution: strategies of integration between GP and GALeonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni. 361-368 [doi]
- Robustness in cooperative coevolutionR. Paul Wiegand, Mitchell A. Potter. 369-376 [doi]
- High-order punishment and the evolution of cooperationBastian Baranski, Thomas Bartz-Beielstein, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann. 379-380 [doi]
- Red Queen dynamics in a predator-prey ecosystemWalter de Back, Marco Wiering, Edwin D. de Jong. 381-382 [doi]
- Indirect co-evolution for understanding belief in an incomplete information dynamic gameNanlin Jin. 383-384 [doi]
- Actively probing and modeling users in interactive coevolutionMichael D. Schmidt, Hod Lipson. 385-386 [doi]
- Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergenceYunpeng Cai, Xiaomin Sun, Peifa Jia. 389-396 [doi]
- The correlation-triggered adaptive variance scaling IDEAJörn Grahl, Peter A. N. Bosman, Franz Rothlauf. 397-404 [doi]
- Sporadic model building for efficiency enhancement of hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. 405-412 [doi]
- Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithmsAndrei Petrovski, Siddhartha Shakya, John A. W. McCall. 413-418 [doi]
- Evaluation relaxation using substructural information and linear estimationKumara Sastry, Cláudio F. Lima, David E. Goldberg. 419-426 [doi]
- Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithmMoshe Looks. 429-430 [doi]
- Hierarchical BOA on random decomposable problemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. 431-432 [doi]
- Does overfitting affect performance in estimation of distribution algorithmsHao Wu, Jonathan L. Shapiro. 433-434 [doi]
- Hierarchically organised evolution strategies on the parabolic ridgeDirk V. Arnold, Alexander MacLeod. 437-444 [doi]
- Reconsidering the progress rate theory for evolution strategies in finite dimensionsAnne Auger, Nikolaus Hansen. 445-452 [doi]
- A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategiesChristian Igel, Thorsten Suttorp, Nikolaus Hansen. 453-460 [doi]
- Probabilistic runtime analysis of (1 +<over>, lambda), ES using isotropic mutationsJens Jägersküpper. 461-468 [doi]
- On the local performance of simulated annealing and the (1+1) evolutionary algorithmThomas Jansen, Ingo Wegener. 469-476 [doi]
- The dispersion metric and the CMA evolution strategyMonte Lunacek, Darrell Whitley. 477-484 [doi]
- A comparative study of differential evolution variants for global optimizationEfrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello. 485-492 [doi]
- On the analysis of the (1+1) memetic algorithmDirk Sudholt. 493-500 [doi]
- A simple line search operator for ridged landscapesAndrea Soltoggio. 503-504 [doi]
- Deceptiveness and neutrality the ND family of fitness landscapesWilliam Beaudoin, Sébastien Vérel, Philippe Collard, Cathy Escazut. 507-514 [doi]
- A new hybrid evolutionary algorithm for the huge ::::k::::-cardinality tree problemChristian Blum. 515-522 [doi]
- Comparison of genetic representation schemes for scheduling soft real-time parallel applicationsYoginder S. Dandass, Amit C. Bugde. 523-530 [doi]
- GRASP - evolution for constraint satisfaction problemsManuel Cebrián, Iván Dotú. 531-538 [doi]
- Maximum cardinality matchings on trees by randomized local searchOliver Giel, Ingo Wegener. 539-546 [doi]
- The quadratic multiple knapsack problem and three heuristic approaches to itAmanda Hiley, Bryant A. Julstrom. 547-552 [doi]
- An effective genetic algorithm for the minimum-label spanning tree problemJeremiah Nummela, Bryant A. Julstrom. 553-558 [doi]
- Anisotropic selection in cellular genetic algorithmsDavid Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue. 559-566 [doi]
- How randomized search heuristics find maximum cliques in planar graphsTobias Storch. 567-574 [doi]
- Adaptation for parallel memetic algorithm based on population entropyJing Tang, Meng-Hiot Lim, Yew-Soon Ong. 575-582 [doi]
- Combining simplex with niche-based evolutionary computation for job-shop schedulingSyhlin Kuah, Joc Cing Tay. 583-590 [doi]
- A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problemHugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón. 591-598 [doi]
- A GA-ACO-local search hybrid algorithm for solving quadratic assignment problemYiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang. 599-606 [doi]
- A genetic algorithm for the longest common subsequence problemBrenda Hinkemeyer, Bryant A. Julstrom. 609-610 [doi]
- A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatorySteven Manos, Geraint Lewis. 611-612 [doi]
- Measuring the evolvability landscape to study neutralitySébastien Vérel, Philippe Collard, Manuel Clergue. 613-614 [doi]
- Genetic local search for multicast routingMohammed S. Zahrani, Martin J. Loomes, James A. Malcolm, Andreas Alexander Albrecht. 615-616 [doi]
- An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithmAdam Berry, Peter Vamplew. 619-626 [doi]
- Combining gradient techniques for numerical multi-objective evolutionary optimizationPeter A. N. Bosman, Edwin D. de Jong. 627-634 [doi]
- Reference point based multi-objective optimization using evolutionary algorithmsKalyanmoy Deb, J. Sundar. 635-642 [doi]
- Towards estimating nadir objective vector using evolutionary approachesKalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen. 643-650 [doi]
- On the effect of populations in evolutionary multi-objective optimizationOliver Giel, Per Kristian Lehre. 651-658 [doi]
- Local search for multiobjective function optimization: pareto descent methodKen Harada, Jun Sakuma, Shigenobu Kobayashi. 659-666 [doi]
- Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LSKen Harada, Kokolo Ikeda, Shigenobu Kobayashi. 667-674 [doi]
- A new proposal for multi-objective optimization using differential evolution and rough sets theoryAlfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Rafael Caballero, Julián Molina Luque. 675-682 [doi]
- Rotated test problems for assessing the performance of multi-objective optimization algorithmsAntony W. Iorio, Xiaodong Li. 683-690 [doi]
- Incorporating directional information within a differential evolution algorithm for multi-objective optimizationAntony W. Iorio, Xiaodong Li. 691-698 [doi]
- Multiobjective genetic algorithms for materialized view selection in OLAP data warehousesMichael Lawrence. 699-706 [doi]
- Inside a predator-prey model for multi-objective optimization: a second studyChristian Grimme, Karlheinz Schmitt. 707-714 [doi]
- An efficient multi-objective evolutionary algorithm with steady-state replacement modelDipti Srinivasan, Lily Rachmawati. 715-722 [doi]
- Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressionsJulio J. Valdés, Alan J. Barton. 723-730 [doi]
- Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representationYing Zhang, Raffi R. Kamalian, Alice M. Agogino, Carlo H. Séquin. 731-738 [doi]
- Incorporation of decision maker s preference into evolutionary multiobjective optimization algorithmsHisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi. 741-742 [doi]
- The multi-objective constrained assignment problemMark P. Kleeman, Gary B. Lamont. 743-744 [doi]
- A new multi-objective evolutionary algorithm for solving high complex multi-objective problemsKangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Chen. 745-746 [doi]
- Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contractsIngo Oesterreicher, Andreas Mitschele, Frank Schlottmann, Detlef Seese. 747-748 [doi]
- A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regionsLily Rachmawati, Dipti Srinivasan. 749-750 [doi]
- Filter approximation using explicit time and frequency domain specificationsVarun Aggarwal, Wesley O. Jin, Una-May O Reilly. 753-760 [doi]
- Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robotGeoffrey A. Hollinger, David A. Gwaltney. 761-768 [doi]
- A dynamically constrained genetic algorithm for hardware-software partitioningPierre-André Mudry, Guillaume Zufferey, Gianluca Tempesti. 769-776 [doi]
- Exploring network topology evolution through evolutionary computationsSami J. Habib, Alice C. Parker. 779-780 [doi]
- Genetic programming for agricultural purposesClément Chion, Luis E. Da Costa, Jacques-André Landry. 783-790 [doi]
- Improving cooperative GP ensemble with clustering and pruning for pattern classificationGianluigi Folino, Clara Pizzuti, Giandomenico Spezzano. 791-798 [doi]
- Characterizing the dynamics of symmetry breaking in genetic programmingJason M. Daida. 799-806 [doi]
- ALPS: the age-layered population structure for reducing the problem of premature convergenceGregory Hornby. 815-822 [doi]
- Automated synthesis of a human-competitive solution to the challenge problem of the 2002 international optical design conference by means of genetic programming and a multi-dimensional mutation operationLee W. Jones, Sameer H. Al-Sakran, John R. Koza. 823-830 [doi]
- Genetically programmed strategies for chess endgameNicolas Lassabe, Stéphane Sanchez, Hervé Luga, Yves Duthen. 831-838 [doi]
- A hybridized genetic parallel programming based logic circuit synthesizerWai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung. 839-846 [doi]
- Using context-aware crossover to improve the performance of GPHammad Majeed, Conor Ryan. 847-854 [doi]
- Canonical form functions as a simple means for genetic programming to evolve human-interpretable functionsTrent McConaghy, Georges G. E. Gielen. 855-862 [doi]
- MOGE: GP classification problem decomposition using multi-objective optimizationAndrew R. McIntyre, Malcolm I. Heywood. 863-870 [doi]
- Dynamics of evolutionary robustnessAlan Piszcz, Terence Soule. 871-878 [doi]
- Convergence to global optima for genetic programming systems with dynamically scaled operatorsLothar M. Schmitt, Stefan Droste. 879-886 [doi]
- Synthesis of interest point detectors through genetic programmingLeonardo Trujillo, Gustavo Olague. 887-894 [doi]
- A quantitative study of neutrality in GP boolean landscapesLeonardo Vanneschi, Yuri Pirola, Philippe Collard. 895-902 [doi]
- A multi-chromosome approach to standard and embedded cartesian genetic programmingJames Alfred Walker, Julian Francis Miller, Rachel Cavill. 903-910 [doi]
- Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problemsJames Alfred Walker, Julian Francis Miller. 911-918 [doi]
- Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GPL. Darrell Whitley, Marc D. Richards, J. Ross Beveridge, André da Motta Salles Barreto. 919-926 [doi]
- Algebraic simplification of GP programs during evolutionPhillip Wong, Mengjie Zhang. 927-934 [doi]
- Relaxed genetic programmingLuis E. Da Costa, Jacques-André Landry. 937-938 [doi]
- Improving GP classifier generalization using a cluster separation metricAshley George, Malcolm I. Heywood. 939-940 [doi]
- Genetic programming with primitive recursionStefan Kahrs. 941-942 [doi]
- Nonlinear parametric regression in genetic programmingYung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon. 943-944 [doi]
- Pareto-coevolutionary genetic programming classifierMichal Lemczyk, Malcolm I. Heywood. 945-946 [doi]
- Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networksAlison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie. 947-948 [doi]
- Investigation on artificial ant using analytic programmingZuzana Oplatková, Ivan Zelinka. 949-950 [doi]
- A survey of mutation techniques in genetic programmingAlan Piszcz, Terence Soule. 951-952 [doi]
- Genetic programming: optimal population sizes for varying complexity problemsAlan Piszcz, Terence Soule. 953-954 [doi]
- Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statisticsRoy Schwaerzel, Tom Bylander. 955-956 [doi]
- When lisp is faster than CBørge Svingen. 957-958 [doi]
- Redundant genes and the evolution of robustnessRussell Thomason, Terence Soule. 959-960 [doi]
- Distributed evaluation functions for fault tolerant multi-rover systemsAdrian K. Agogino, Kagan Tumer. 1079-1086 [doi]
- Structure and metaheuristicsYossi Borenstein, Riccardo Poli. 1087-1094 [doi]
- A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operationsKeki M. Burjorjee, Jordan B. Pollack. 1095-1102 [doi]
- Adaptive discretization for probabilistic model building genetic algorithmsChao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen. 1103-1110 [doi]
- Crossover gene selection by spatial locationDavid M. Cherba, William F. Punch. 1111-1116 [doi]
- Properties of symmetric fitness functionsSung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon. 1117-1124 [doi]
- Non-wrapping order crossover: an order preserving crossover operator that respects absolute positionVincent A. Cicirello. 1125-1132 [doi]
- gLINC: identifying composability using group perturbationDavid Jonathan Coffin, Christopher D. Clack. 1133-1140 [doi]
- Multi-objective test problems, linkages, and evolutionary methodologiesKalyanmoy Deb, Ankur Sinha, Saku Kukkonen. 1141-1148 [doi]
- An empirical investigation of how and why neutrality affects evolutionary searchEdgar Galván López, Riccardo Poli. 1149-1156 [doi]
- A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problemA hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problemJie Gao, Mitsuo Gen, Linyan Sun. 1157-1164 [doi]
- Robot gaits evolved by combining genetic algorithms and binary hill climbingLena Mariann Garder, Mats Erling Høvin. 1165-1170 [doi]
- Segmentation of medical images using a genetic algorithmPayel Ghosh, Melanie Mitchell. 1171-1178 [doi]
- A tree-based genetic algorithm for building rectilinear Steiner arborescencesWilliam A. Greene. 1179-1186 [doi]
- Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACOMartin Gruber, Jano I. van Hemert, Günther R. Raidl. 1187-1194 [doi]
- Fitness function for finding out robust solutions on time-varying functionsHisashi Handa. 1195-1200 [doi]
- Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approachIason Hatzakis, David Wallace. 1201-1208 [doi]
- Multi-attractor gene reordering for graph bisectionInwook Hwang, Yong-Hyuk Kim, Byung Ro Moon. 1209-1216 [doi]
- Geometric crossover for multiway graph partitioningYong-Hyuk Kim, Yourim Yoon, Alberto Moraglio, Byung Ro Moon. 1217-1224 [doi]
- A splicing/decomposable encoding and its novel operators for genetic algorithmsYong Liang, Kwong-Sak Leung, Kin-Hong Lee. 1225-1232 [doi]
- On the utility of the multimodal problem generator for assessing the performance of evolutionary algorithmsFernando G. Lobo, Cláudio F. Lima. 1233-1240 [doi]
- Revisiting evolutionary algorithms with on-the-fly population size adjustmentFernando G. Lobo, Cláudio F. Lima. 1241-1248 [doi]
- Spectral techniques for graph bisection in genetic algorithmsJacob G. Martin. 1249-1256 [doi]
- A fast hybrid genetic algorithm for the quadratic assignment problemAlfonsas Misevicius. 1257-1264 [doi]
- A new generation alternation model for differential evolutionNasimul Noman, Hitoshi Iba. 1265-1272 [doi]
- How an optimal observer can collapse the search spaceChristophe Philemotte, Hugues Bersini. 1273-1280 [doi]
- The LEM3 implementation of learnable evolution model and its testing on complex function optimization problemsJanusz Wojtusiak, Ryszard S. Michalski. 1281-1288 [doi]
- The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functionsWilliam Rand, Rick L. Riolo, John H. Holland. 1289-1296 [doi]
- Selecting for evolvable representationsJoseph Reisinger, Risto Miikkulainen. 1297-1304 [doi]
- Comparison of multi-modal optimization algorithms based on evolutionary algorithmsGulshan Singh, Kalyanmoy Deb. 1305-1312 [doi]
- Optimal mutation rates for genetic searchJorge Cervantes, Christopher R. Stephens. 1313-1320 [doi]
- Comparing evolutionary and temporal difference methods in a reinforcement learning domainMatthew E. Taylor, Shimon Whiteson, Peter Stone. 1321-1328 [doi]
- Combining genetic algorithms with squeaky-wheel optimizationJustin Terada, Hoa Vo, David Joslin. 1329-1336 [doi]
- A crossover for complex building blocks overlappingMiwako Tsuji, Masaharu Munetomo, Kiyoshi Akama. 1337-1344 [doi]
- Use of statistical outlier detection method in adaptive evolutionary algorithmsJames M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker. 1345-1352 [doi]
- Credit assignment in adaptive evolutionary algorithmsJames M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker. 1353-1360 [doi]
- Fluctuating crosstalk, deterministic noise, and GA scalabilityPaul Winward, David E. Goldberg. 1361-1368 [doi]
- Strong recombination, weak selection, and mutationAlden H. Wright, J. Neal Richter. 1369-1376 [doi]
- A comparative study of immune system based genetic algorithms in dynamic environmentsShengxiang Yang. 1377-1384 [doi]
- Conquering hierarchical difficulty by explicit chunking: substructural chromosome compressionTian-Li Yu, David E. Goldberg. 1385-1392 [doi]
- Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programmingJason Amunrud, Bryant A. Julstrom. 1395-1396 [doi]
- A comparative study of evolutionary optimization techniques in dynamic environmentsDemet Ayvaz, Haluk Topcuoglu, Fikret S. Gürgen. 1397-1398 [doi]
- The no free lunch and realistic search algorithmsYossi Borenstein, Riccardo Poli. 1399-1400 [doi]
- Classes of problems in the black box scenarioYossi Borenstein, Riccardo Poli. 1401-1402 [doi]
- A genetic model based on simulated crossover of quaternary genes for quadratic fitnessMarco Carpentieri, Vito Fedullo. 1403-1404 [doi]
- Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problemRachel Cavill, Stephen L. Smith, Andy M. Tyrrell. 1405-1406 [doi]
- Improving genetic algorithm performance with intelligent mappings from chromosomes to solutionsJustin Collins, David Joslin. 1407-1408 [doi]
- The snake in the box problem: mathematical conjecture and a genetic algorithm approachPedro A. Diaz-Gomez, Dean F. Hougen. 1409-1410 [doi]
- A new approach for shortest path routing problem by random key-based GAMitsuo Gen, Lin Lin. 1411-1412 [doi]
- Solving identification problem for asynchronous finite state machines using genetic algorithmsXiaojun Geng. 1413-1414 [doi]
- iECGA: integer extended compact genetic algorithmPing-Chu Hung, Ying-Ping Chen. 1415-1416 [doi]
- Analyzing active interactive genetic algorithms using visual analyticsXavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge. 1417-1418 [doi]
- Extraction of landscape information based on a quality control approach and its applications to mutation in GAExtraction of landscape information based on a quality control approach and its applications to mutation in GAMitsukuni Matayoshi, Morikazu Nakamura, Hayao Miyagi. 1419-1420 [doi]
- Generalized cycle crossover for graph partitioningAlberto Moraglio, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon, Riccardo Poli. 1421-1422 [doi]
- Mating networks in steady state genetic algorithms are scale freeM. Kivanc Oner, Ivan I. Garibay, Annie S. Wu. 1423-1424 [doi]
- Distributed genetic algorithm for energy-efficient resource management in sensor networksQinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer. 1425-1426 [doi]
- Estimating the destructiveness of crossover on binary tree representationsLuke Sheneman, James A. Foster. 1427-1428 [doi]
- Multi-objective diversity maintenancePaul Snijders, Edwin D. de Jong, Bart de Boer, Franjo Weissing. 1429-1430 [doi]
- Game theory as a new paradigm for phenotype characterization of genetic algorithmsOtávio Noura Teixeira, Artur Noura Teixeira, Felipe Houat de Brito, Roberto Célio Limão de Oliveira. 1431-1432 [doi]
- Leveraging domain-expert knowledge in a genetic algorithm for civil engineering design optimizationHoa Vo, Justin Terada, David Joslin, Jeff Dragovich. 1433-1434 [doi]
- Dominance learning in diploid genetic algorithms for dynamic optimization problemsShengxiang Yang. 1435-1436 [doi]
- Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal designSanyou Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin X. Ding. 1437-1438 [doi]
- Smart crossover operator with multiple parents for a Pittsburgh learning classifier systemJaume Bacardit, Natalio Krasnogor. 1441-1448 [doi]
- Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functionsMartin V. Butz, Martin Pelikan. 1449-1456 [doi]
- Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structureMartin V. Butz, Pier Luca Lanzi, Stewart W. Wilson. 1457-1464 [doi]
- On semi-supervised clustering via multiobjective optimizationJulia Handl, Joshua D. Knowles. 1465-1472 [doi]
- Evolving ensemble of classifiers in random subspaceAlbert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.. 1473-1480 [doi]
- Using convex hulls to represent classifier conditionsPier Luca Lanzi, Stewart W. Wilson. 1481-1488 [doi]
- Standard and averaging reinforcement learning in XCSPier Luca Lanzi, Daniele Loiacono. 1489-1496 [doi]
- Classifier prediction based on tile codingPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. 1497-1504 [doi]
- Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptationPier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg. 1505-1512 [doi]
- Fast rule matching for learning classifier systems via vector instructionsXavier Llorà, Kumara Sastry. 1513-1520 [doi]
- Multi-step environment learning classifier systems applied to hyper-heuristicsJavier G. Marín-Blázquez, Sonia Schulenburg. 1521-1528 [doi]
- A representational ecology for learning classifier systemsJames A. R. Marshall, Tim Kovacs. 1529-1536 [doi]
- A Bayesian approach to learning classifier systems in uncertain environmentsDavide Aliprandi, Alex Mancastroppa, Matteo Matteucci. 1537-1544 [doi]
- Information preserving multi-objective feature selection for unsupervised learningIngo Mierswa, Michael Wurst. 1545-1552 [doi]
- Evolutionary learning with kernels: a generic solution for large margin problemsIngo Mierswa. 1553-1560 [doi]
- Bounding XCS s parameters for unbalanced datasetsAlbert Orriols-Puig, Ester Bernadó-Mansilla. 1561-1568 [doi]
- Analysis of the difficulty of learning goal-scoring behaviour for robot soccerJeff Riley, Victor Ciesielski. 1569-1576 [doi]
- On-line evolutionary computation for reinforcement learning in stochastic domainsShimon Whiteson, Peter Stone. 1577-1584 [doi]
- Ensemble selection for evolutionary learning using information theory and price s theoremStuart W. Card, Chilukuri K. Mohan. 1587-1588 [doi]
- FTXI: fault tolerance XCS in integerHong-Wei Chen, Ying-Ping Chen. 1589-1590 [doi]
- Multiobjective genetic rule selection as a data mining postprocessing procedureHisao Ishibuchi, Yusuke Nojima, Isao Kuwajima. 1591-1592 [doi]
- Estimating photometric redshifts with genetic algorithmsNick Miles, Alex Alves Freitas, Stephen Serjeant. 1593-1594 [doi]
- An anticipatory approach to improve XCSFAmin Nikanjam, Adel Rahmani. 1595-1596 [doi]
- An open-set speaker identification system using genetic learning classifier systemWonKyung Park, Jae C. Oh, Misty K. Blowers, Matt B. Wolf. 1597-1598 [doi]
- Evolving cooperative behavior in a power marketDipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong Wei Lye. 1599-1600 [doi]
- Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classificationStephan M. Winkler, Michael Affenzeller, Stefan Wagner 0002. 1601-1602 [doi]
- A neural evolutionary approach to financial modelingAntonia Azzini, Andrea Tettamanzi. 1605-1612 [doi]
- Pareto front genetic programming parameter selection based on design of experiments and industrial dataFlor A. Castillo, Arthur K. Kordon, Guido Smits, Ben Christenson, Dee Dickerson. 1613-1620 [doi]
- Evolutionary optimization of ZIP60: a controlled explosion in hyperspaceDave Cliff. 1621-1628 [doi]
- Innovization: innovating design principles through optimizationKalyanmoy Deb, Aravind Srinivasan. 1629-1636 [doi]
- 3D airspace sectoring by evolutionary computation: real-world applicationsDaniel Delahaye, Stephane Puechmorel. 1637-1644 [doi]
- Mixed-integer optimization of coronary vessel image analysis using evolution strategiesRui Li, Michael Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp. 1645-1652 [doi]
- Towards an evolutionary tool for the allocation of supermarket shelf spaceAnna Esparcia-Alcázar, Lidia Lluch-Revert, Ken Sharman, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato. 1653-1660 [doi]
- Evolutionary search for optimal combinations of markers in clothing manufacturingBogdan Filipic, Iztok Fister, Marjan Mernik. 1661-1666 [doi]
- On evolving buffer overflow attacks using genetic programmingHilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood. 1667-1674 [doi]
- Cutting stock waste reduction using genetic algorithmsYaser M. A. Khalifa, O. Salem, A. Shahin. 1675-1680 [doi]
- Evolving a real-world vehicle warning systemNate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony. 1681-1688 [doi]
- Biobjective evolutionary and heuristic algorithms for intersection of geometric graphsRajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhattacharya. 1689-1696 [doi]
- Genetic algorithms for action set selection across domains: a demonstrationGreg Lee, Vadim Bulitko. 1697-1704 [doi]
- Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computationYong Liang, Kwong-Sak Leung, Tony Shu Kam Mok. 1705-1712 [doi]
- A crossover operator for the ::::k-:::: anonymity problemMonte Lunacek, Darrell Whitley, Indrakshi Ray. 1713-1720 [doi]
- A genetic algorithm with a variable-length genotype and embryogeny for microstructured optical fibre designSteven Manos, Leon Poladian, Peter J. Bentley, Maryanne Large. 1721-1728 [doi]
- Selective self-adaptive approach to ant system for solving unit commitment problemSongsak Chusanapiputt, Dulyatat Nualhong, Sujate Jantarang, Sukumvit Phoomvuthisarn. 1729-1736 [doi]
- Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-IIGerulf K. M. Pedersen, Zhenyu Yang. 1737-1744 [doi]
- Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistryKumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens. 1745-1752 [doi]
- Reward allotment in an event-driven hybrid learning classifier system for online soccer gamesYuji Sato, Yosuke Akatsuka, Takenori Nishizono. 1753-1760 [doi]
- On the benefits of inoculation, an example in train schedulingYann Semet, Marc Schoenauer. 1761-1768 [doi]
- The complete-basis-functions parameterization in ES and its application to laser pulse shapingOfer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking. 1769-1776 [doi]
- Designing safe, profitable automated stock trading agents using evolutionary algorithmsHarish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers. 1777-1784 [doi]
- Evolution of driving agent, remotely operating a scale model of a car with obstacle avoidance capabilitiesIvan Tanev, Michal Joachimczak, Katsunori Shimohara. 1785-1792 [doi]
- Multi-objective optimisation of the protein-ligand docking problem in drug discoveryA. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy. 1793-1800 [doi]
- Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapesHaluk Topcuoglu, Murat Ermis. 1801-1808 [doi]
- Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on waveletsKlaus Weinert, Andreas Zabel, Heinrich Müller, Petra Kersting. 1809-1816 [doi]
- Behavioural GP diversity for dynamic environments: an application in hedge fund investmentWei Yan, Christopher D. Clack. 1817-1824 [doi]
- Evolutionary motion design for humanoid robotsToshihiko Yanase, Hitoshi Iba. 1825-1832 [doi]
- Evolving musical performance profiles using genetic algorithms with structural fitnessQijun Zhang, Eduardo Reck Miranda. 1833-1840 [doi]
- Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing systemHaipeng Zhang, Mitsuo Gen. 1841-1848 [doi]
- Candlestick stock analysis with genetic algorithmsPeter Belford. 1851-1852 [doi]
- Genetic algorithms and mixed integer linear programs for optimal strategies in a student s sports activityThomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt. 1853-1854 [doi]
- Human competitive security protocols synthesisHao Chen, John A. Clark, Jeremy Jacob. 1855-1856 [doi]
- Genetic algorithms to optimise the time to make stock market investmentDavid de la Fuente, Alejandro Garrido, Jaime Laviada, Alberto Gomez. 1857-1858 [doi]
- Evolutionary design of pseudorandom sequence generators based on cellular automata and its applicability in current cryptosystemsDavid Delgado, David Vidal, German Hernandez. 1859-1860 [doi]
- Evolving hash functions by means of genetic programmingCésar Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi. 1861-1862 [doi]
- Evolutionary interactive music compositionTao-Yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, Ying-Ping Chen. 1863-1864 [doi]
- Hybrid search for cardinality constrained portfolio optimizationMiguel A. Gomez, Carmen X. Flores, Maria A. Osorio. 1865-1866 [doi]
- A case-study about shift work management at a hospital emergency department with genetic algorithmsAlberto Gomez, David de la Fuente, Javier Puente, José Parreño. 1867-1868 [doi]
- Multi-objective genetic algorithms for pipe arrangement designSatoshi Ikehira, Hajime Kimura. 1869-1870 [doi]
- An evolutionary approach to camera-based projector calibrationClayton Matthew Johnson, Anu Bhat, William C. Thibault. 1871-1872 [doi]
- Autonomous evolutionary music composerYaser M. A. Khalifa, Mohamed Basel Al-Mourad. 1873-1874 [doi]
- A unified optimization framework for microelectronics industryYiming Li, Cheng-Kai Chen, Yen-Yu Cho. 1875-1876 [doi]
- Characterizing large text corpora using a maximum variation sampling genetic algorithmRobert M. Patton, Thomas E. Potok. 1877-1878 [doi]
- Real-time construction of aircraft landing schedules using an evolutionary algorithmNeil Urquhart. 1879-1880 [doi]
- Comparative analysis of the sailor assignment problemJoseph Vannucci, Deon Garrett, Dipankar Dasgupta. 1881-1882 [doi]
- A novel approach to optimize clone refactoring activitySalah Bouktif, Giuliano Antoniol, Ettore Merlo, Markus Neteler. 1885-1892 [doi]
- Simulated annealing for improving software quality predictionSalah Bouktif, Houari A. Sahraoui, Giuliano Antoniol. 1893-1900 [doi]
- Clustering the heap in multi-threaded applications for improved garbage collectionMyra Cohen, Shiu Beng Kooi, Witawas Srisa-an. 1901-1908 [doi]
- Search-based determination of refactorings for improving the class structure of object-oriented systemsOlaf Seng, Johannes Stammel, David Burkhart. 1909-1916 [doi]
- Improving evolutionary real-time testingMarouane Tlili, Stefan Wappler, Harmen Sthamer. 1917-1924 [doi]
- Evolutionary unit testing of object-oriented software using strongly-typed genetic programmingStefan Wappler, Joachim Wegener. 1925-1932 [doi]
- Reformulation of the generation of conformance testing sequences to the asymmetric travelling salesman problemJitian Xiao, Chiou Peng Lam, Huaizhong Li, Jun Wang. 1933-1940 [doi]
- The state problem for test generation in SimulinkYuan Zhan, John A. Clark. 1941-1948 [doi]
- Search--based approaches to the component selection and prioritization problemMark Harman, Alexandros Skaliotis, Kathleen Steinhöfel, Paul Baker. 1951-1952 [doi]
- A specification-based fitness function for evolutionary testing of object-oriented programsYoonsik Cheon, Myoung Kim. 1953-1954 [doi]
- Towards effective adaptive random testing for higher-dimensional input domainsJohannes Mayer. 1955-1956 [doi]
- Single and multi-objective genetic operators in object-oriented conceptual software designChristopher L. Simons, Ian C. Parmee. 1957-1958 [doi]
- Pairwise sequence comparison for fitness evaluation in evolutionary structural software testingH. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harmanci. 1959-1960 [doi]
- Tuning experiments with an adaptive computational frameworkJoseph Lewis, Chris Ansoff. 1961-1962 [doi]