Table of Contents

• An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trendsCarlos A. Coello Coello. 3-13 [doi]
• Multicriteria optimization and decision engineering of an extrusion process aided by a diploid genetic algorithmSilvère Massebeuf, Christian Fonteix, Laszlo Nandor Kiss, Ivan Marc, Fernand Pla, K. Zaras. 14-21 [doi]
• Genetic programming for dynamic chaotic systems modellingKatya Rodríguez-Vázquez, Peter J. Fleming. 22-28 [doi]
• Genetic algorithm-based multi-objective optimisation and conceptual engineering designDragan Cvetkovic, Ian C. Parmee. 29-36 [doi]
• Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problemK. J. Shaw, Anne L. Nortcliffe, M. Thompson, J. Love, Peter J. Fleming, Carlos M. Fonseca. 37-45 [doi]
• A genetic algorithm approach to multi-objective scheduling problems with earliness and tardiness penaltiesHisashi Tamaki, Etsuo Nishino, Shigeo Abe. 46-52 [doi]
• Cooperative strategies for solving the bicriteria sparse multiple knapsack problemF. Sibel Salman, Jayant Kalagnanam, Sesh Murthy. 53-60 [doi]
• Multi-objective design of finite word-length controller structuresRobert S. H. Istepanian, James F. Whidborne. 61-68 [doi]
• Distributed genetic algorithms with a new sharing approach in multiobjective optimization problemsTomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe. 69-76 [doi]
• Solving goal programming problems using multi-objective genetic algorithmsKalyanmoy Deb. 77-84 [doi]
• Multiplicity in genetic algorithms to face multicriteria optimizationSusana C. Esquivel, Héctor A. Leiva, Raúl Héctor Gallard. 85-90 [doi]
• Fuzzy simulated evolution algorithm for multi-objective optimization of VLSI placementSadiq M. Sait, Habib Youssef, Hussain Ali. 91-97 [doi]
• The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisationJoshua D. Knowles, David Corne. 98-105 [doi]
• Evolutionary algorithms with goal and priority information for multi-objective optimizationK. C. Tan, T. H. Lee, E. F. Khor. 106-116 [doi]
• Generation of dual missile strategies using genetic algorithmsPaul A. Creaser, Barry A. Stacey. 117-124 [doi]
• Rule acquisition with a genetic algorithmRobert Cattral, Franz Oppacher, Dwight Deugo. 125-129 [doi]
• A genetic algorithm system to find symbolic rules for diagnosis of depressionChristopher N. Chapman, Lana Deaton, Angela Harris, Nova Robinson. 130-136 [doi]
• Knowledge acquisition including tags in a classifier systemA. Sanchis, J. M. Molina, P. Isasi, J. Segovia. 137-144 [doi]
• LamBaDa: an artificial environment to study the interaction between evolution and learningMarília Oliveira, Jorge Barreiros, Ernesto Costa, Francisco Baptista Pereira. 145-152 [doi]
• An adaptive learning model for simplified poker using evolutionary algorithmsLuigi Barone, Lyndon While. 153-160 [doi]
• Evolving rules for a self-organizing finite element mesh generation algorithmAnnemarie E. Langham, Philip W. Grant. 161-168 [doi]
• A new paradigm for evolving cellular automata rulesTerry Bossomaier, Tim Cranny, Derek Schneider. 169-176 [doi]
• Fast and accurate feature selection using hybrid genetic strategiesCesar Guerra-Salcedo, Stephen Chen 0001, Darrell Whitley, Stephen F. Smith. 177-184 [doi]
• Evolutionary search based fuzzy self-organizing clusteringSusu Yao. 185-188 [doi]
• Global search in combinatorial optimization using reinforcement learning algorithmsVictor V. Miagkikh, William F. Punch III. 189-196 [doi]
• Exploring evolutionary learning in a simulated hockey environmentAlan D. Blair, Elizabeth Sklar. 197-203 [doi]
• A classification tree for speciationAlain Pétrowski, Marc Girot-Genet. 204-211 [doi]
• A genetic constructive induction modelIbrahim Kuscu. 212-217 [doi]
• Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applicationsJames G. Shanahan, Jim F. Baldwin, Trevor P. Martin. 218-228 [doi]
• Identification of nonlinear communication channel using evolutionary Volterra time-seriesAlaa F. Sheta, Ashraf H. Abel-Wahab. 229-235 [doi]
• Evolving nonlinear time-series models using evolutionary programmingSathyanarayan S. Rao, H. K. Birru, Kumar Chellapilla. 236-243 [doi]
• Using genetic programming to predict financial dataHitoshi Iba, Takashi Sasaki. 244-251 [doi]
• Effects of selection schemes in genetic programming for time series predictionJung-Jib Kim, Byoung-Tak Zhang. 252-258 [doi]
• Variable encoding of modular neural networks for time series predictionBernhard Sendhoff, Martin Kreutz. 259-266 [doi]
• Would evolutionary computation help in designs of ANNs in forecasting foreign exchange rates?Shu-Heng Chen, Chun-Fen Lu. 267-274 [doi]
• Evolutionary and coevolutionary approaches to time series prediction using generalized multi-layer perceptronsHelmut A. Mayer, Roland Schwaiger. 275-280 [doi]
• Time series prediction using committee machines of evolutionary neural treesByoung-Tak Zhang, Je-Gun Joung. 281-286 [doi]
• Generalized function analysis using hybrid evolutionary algorithmsChristian Hafner 0001, Jürg Frohlich. 287-294 [doi]
• Time series prediction model building with BP-like parameter optimizationIkuo Yoshihara, M. Numata, Ken Sugawara, S. Yamada, Kenichi Abe. 295-301 [doi]
• Evolving best-basis representationsAdelino R. Ferreira da Silva. 302-309 [doi]
• Evolving chaotic neural systems for time series predictionDong-Wook Lee, Kwee-Bo Sim. 310-316 [doi]
• Adaptive architecture of polynomial artificial neural network to forecast nonlinear time seriesEduardo Gómez-Ramírez, Alex Poznyak, A. Gonzalez-Yunes, M. Avila-Alvarez. 317-326 [doi]
• Fuzzy-genetic algorithms and mobile robot navigation among static obstaclesDilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh. 327-334 [doi]
• Embodied evolution: embodying an evolutionary algorithm in a population of robotsRichard A. Watson, Sevan G. Ficiei, Jordan B. Pollack. 335-342 [doi]
• Learning coordinated maneuvers in complex environments: a sumo experimentJiming Liu, Chow Kwong Pok, Hui Ka Keung. 343-349 [doi]
• Evolutionary self-organization of an artificial potential field map with a group of autonomous robotsJiming Liu 0001, Jian-Bing Wu, David A. Maluf. 350-357 [doi]
• Morphogenesis of path plan sequences through genetic synthesis of L-system productionsCarl G. Schaefer Jr.. 358-365 [doi]
• Realization of robust controllers in evolutionary robotics: a dynamically-rearranging neural network approachToshiyuki Kondo, Akio Ishiguro, Seiji Tokura, Yoshiki Uchikawa, Peter Eggenberger. 366-373 [doi]
• Re-grasping behavior acquisition by evolutionary programmingYasuhisa Hasegawa, Kenichiro Mase, Toshio Fukuda. 374-380 [doi]
• Evolving robot vision: increasing performance through shapingSimon Perkins. 381-388 [doi]
• Hybridisation of neural networks and genetic algorithms for time-optimal controlNachol Chaiyaratana, Ali M. S. Zalzala. 389-396 [doi]
• Perception-based genetic algorithm for a mobile robot with fuzzy controllersNaoyuki Kubota, Toshihito Morioka, Fumio Kojima, Toshio Fukuda. 397-404 [doi]
• Evolving walking robots for global task based designOlivier Chocron, Philippe Bidaud. 405-412 [doi]
• Neural networks robot controller trained with evolution strategiesAntonio Berlanga, Pedro Isasi, Araceli Sanchis, José M. Molina. 413-419 [doi]
• An evolutionary approach to multiagent heap formationTim D. Barfoot, Gabriele M. T. D'Eleuterio. 420-427 [doi]
• Control of autonomous robots using fuzzy logic controllers tuned by genetic algorithmsC. T. C. Arsene, Ali M. S. Zalzala. 428-438 [doi]
• Computer experiments on the development of niche specialization in an artificial ecosystemJon J. Brewster, Michael Conrad. 439-444 [doi]
• Multiple sequence alignment using evolutionary programmingKumar Chellapilla, Gary B. Fogel. 445-452 [doi]
• Of metaphors and Darwinism: deconstructing genetic programming's chimeraJason M. Daida, Seth P. Yalcin, Paul M. Litvak, Gabriel A. Eickhoff, John A. Polit. 453-462 [doi]
• Simulated sequencing by hybridization using evolutionary programmingGary B. Fogel, Kumar Chellapilla. 463-469 [doi]
• An evolutionary approach to pattern formation mechanisms on lepidopteran wingsPeter Eggenberger, Raja Dravid. 470-473 [doi]
• Extensions to evolutionary systems in design from genetic engineering and developmental biologyJohn S. Gero. 474-479 [doi]
• Genetic algorithm inspired by gene duplicationHidefumi Sawai, Susurnu Adachi. 480-487 [doi]
• A survey of recent work on evolutionary approaches to the protein folding problemGarrison W. Greenwood, Jae-Min Shin, Byungkook Lee, Gary B. Fogel. 488-495 [doi]
• Creation of a biomimetic model of dolphin hearing through the use of evolutionary computationDorian S. Houser, David A. Helweg, Kumar Chellapilla, Patrick W. B. Moore. 496-502 [doi]
• Evolutionary computation enhancement of olfactory system modelGeza Szekely, Mary Lou Padgett, Gerry V. Dozier. 503-510 [doi]
• Hypernetwork model of biological information processingJose L. Segovia-Juarez, Michael Conrad. 511-518 [doi]
• Design exploration: extending the bounds of the search spaceM. A. Beck, Ian C. Parmee. 519-526 [doi]
• Genetic crossover strategy using an approximation conceptKurt S. Anderson, Yuhong Hsu. 527-533 [doi]
• Effect of global parallelism on the behavior of a steady state genetic algorithm for design optimizationKhaled Rasheed, Brian D. Davison. 534-541 [doi]
• A variable step size algorithm using evolution strategies for adaptive filteringSin Chun Ng, Chi Yin Chung, Shu-Hung Leung 0001, Andrew Luk. 542-545 [doi]
• Cluster-oriented genetic algorithms to support interactive designer/evolutionary computing systemsIan C. Parmee, Christopher R. Bonham. 546-553 [doi]
• Improving the performance of cluster oriented genetic algorithms (COGAs)Christopher R. Bonham, Ian C. Parmee. 554-561 [doi]
• HENSON: a visualization framework for genetic algorithm usersTrevor D. Collins. 562-572 [doi]
• Self-adaptive penalties for GA-based optimizationCarlos A. Coello Coello. 573-580 [doi]
• Towards understanding constraint-handling methods in evolutionary algorithmsZbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt 0001, Thomas J. R. Stidsen. 581-588 [doi]
• SAWing on symmetryLuk Schoofs, Bart Naudts, Ives Landrieu. 589-595 [doi]
• Weight-codings in a genetic algorithm for the multi-constraint knapsack problemGünther R. Raidl. 596-603 [doi]
• Application of the hardness theory when solving the timetabling problem with genetic algorithmsHugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón. 604-611 [doi]
• An alternative constraint handling method for evolution strategiesAhmet Irfan Oyman, Kalyanmoy Deb, Hans-Georg Beyer. 612-622 [doi]
• Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutionsMárk Jelasity, Boglárka G.-Tóth, Tamás Vinkó. 623-630 [doi]
• Aggregating models of evolutionary algorithmsWilliam M. Spears. 631-638 [doi]
• Some observations on the interaction of recombination and self-adaptation in evolution strategiesLothar Gruenz, Hans-Georg Beyer. 639-645 [doi]
• Self-adaptation and global convergence: a counter-exampleGünter Rudolph. 646-651 [doi]
• Structure abstraction and genetic programmingTina Yu. 652-659 [doi]
• Topographical mapping assisted evolutionary search for multilevel optimizationMohammed A. El-Beltagy, Andy J. Keane. 660-665 [doi]
• Emphasizing extinction in evolutionary programmingGarrison W. Greewood, Gary B. Fogel, Manuel Ciobanu. 666-671 [doi]
• A performance analysis of evolutionary pattern search with generalized mutation stepsWilliam E. Hart, Keith O. Hunter. 672-679 [doi]
• On the real arity of multiparent recombinationIda G. Sprinkhuizen-Kuyper, C. A. Schippers, A. E. Eiben. 680-686 [doi]
• Learning landscapes: regression on discrete spacesWilliam G. Macready, Bennett S. Levitan. 687-694 [doi]
• The deterministic genetic algorithm: implementation details and some resultsRalf Salomon. 695-702 [doi]
• "Effective" fitness landscapes for evolutionary systemsColin R. Stephens. 703-714 [doi]
• An examination of building block dynamics in different representationsAnnie S. Wu, Kenneth A. De Jong. 715-721 [doi]
• A Bayesian framework for evolutionary computationByoung-Tak Zhang. 722-728 [doi]
• Adaptive genetic algorithms-modeling and convergenceAlexandru Agapie. 729-735 [doi]
• Predictive measures for problem difficultyColin R. Reeves. 736-743 [doi]
• Problem perturbation: implications on the fitness landscapeWorthy N. Martin, Allen L. Barker, James P. Cohoon. 744-751 [doi]
• The Factorized Distribution Algorithm for additively decomposed functionsHeinz Mühlenbein, Thilo Mahnig. 752-759 [doi]
• Scheduling variance loss using population level annealing for evolutionary computationArnold L. Patton, Erik D. Goodman, William F. Punch III. 760-767 [doi]
• A genetic algorithm based on mutation and crossover with adaptive probabilitiesC.-W. Ho, K. H. Lee, K.-S. Leung. 768-775 [doi]
• The worth of the uniformEmanuel Falkenauer. 776-782 [doi]
• On some difficulties in local evolutionary searchHans-Michael Voigt. 783-787 [doi]
• Some information theoretic results on evolutionary optimizationThomas M. English. 788-795 [doi]
• A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharingMartijn Neef, Dirk Thierens, Henryk F. R. Arciszewski. 796-806 [doi]
• Evolutionary computation applied to algorithmic compositionArtemis Moroni, Jônatas Manzolli, Fernando J. Von Zuben, Ricardo R. Gudwin. 807-811 [doi]
• Fuzzy evolutionary programming for hidden Markov modelling in speaker identificationTu Van Le, Dat Tran 0001, Michael Wagner 0004. 812-815 [doi]
• Turbo codes optimization using genetic algorithmsNicolas Durand 0002, Jean-Marc Alliot, Boris Bartolome. 816-822 [doi]
• Evolving materialized views in data warehouseChuan Zhang, Xin Yao, Jian Yang. 823-829 [doi]
• A novel function-level EHW architecture within modern FPGAsGerald R. Clark. 830-833 [doi]
• Genetic programming in the agent-based artificial stock marketShu-Heng Chen, Chia-Hsuan Yeh. 834-841 [doi]
• Signal processing applications using adaptive simulated annealingShu-Heng Chen, R. H. Istepanian, Bing Lam Luk. 842-849 [doi]
• Object detection by multiple textural analyzersDaniel Howard 0001, Simon C. Roberts. 850-854 [doi]
• Seismic velocity inversion with genetic algorithmsSushi1 J. Louis, Qinxue Chen, Satish Pullammanappallil. 855-861 [doi]
• A supervisory architecture and hybrid GA for the identifications of complex systemsLinyu Yang, John Yen, Athirathnam Rajesh, Ken D. Kihm. 862-869 [doi]
• Two evolutionary approaches to cross-clustering problemsHenri Luchian, Ben Paechter, Vlad Radulescu, Silvia Luchian. 870-876 [doi]
• Emergence of cooperative coalition in NIPD game with localization of interaction and learningYeon-Gyu Seo, Sung-Bae Cho, Xin Yao 0001. 877-884 [doi]
• Genetic music compositorAlejandro Pazos, Antonino Santos del Riego, Julian Dorado, Juan J. Romero Caldalda. 885-890 [doi]
• Ostracism for improving cooperation in the iterated prisoner's dilemma gameJae C. Oh. 891-896 [doi]
• A two stage genetic algorithm for optimisation of causal IIR perfect reconstruction multirate filter banksGurvinder S. Baicher. 897-903 [doi]
• MTGP: a multithreaded Java tool for genetic programming applicationsAli M. S. Zalzala, D. Green. 904-912 [doi]
• Resolution of the left ventricle 3D reconstruction problem using approaches based on genetic algorithm for multiobjective problemsJosé Aguilar 0001, Pablo Miranda. 913-920 [doi]
• Applying evolutionary algorithms to real-world-inspired problems with physical smoothness constraintsRalf Salomon. 921-928 [doi]
• Evolution of neighborly relations in a spatial IPD game with cooperative players and hostile playersHisao Ishibuchi, Tatsuo Nakari, Tomoham Nakashima. 929-936 [doi]
• Linguistic summaries of sales data at a computer retailer via fuzzy logic and a genetic algorithmJanusz Kacprzyk, Pawel Strykowski. 937-943 [doi]
• PLAGA: a highly parallelizable genetic algorithm for programmable logic arrays test pattern generationAlfiedo Cruz, Sumitra Mukherjee. 944-954 [doi]
• PNA-enhanced DNA computingJosé Miró-Julià, Francesc Rosselló. 955-959 [doi]
• Towards a system for simulating DNA computing with whiplash PCRAkio Nishikawa, Masami Hagiya. 960-966 [doi]
• Molecular implementation of computational componentsGerald G. Owenson, Martyn Amos, David A. Hodgson, Alan Gibbons. 967-971 [doi]
• Executing parallel logical operations with DNAMitsunori Ogihara, Animesh Ray. 972-979 [doi]
• Cross-fertilization between evolutionary computation and DNA-based computingThomas Bäck, Joost N. Kok, Grzegorz Rozenberg. 980-987 [doi]
• The inference via DNA computingPiotr Wasiewicz, Tomasz Janczak, Jan J. Mulawka, Andrzej Plucienniczak. 988-993 [doi]
• Solving traveling salesman problems using molecular programmingSoo-Yong Shin, Byoung-Tak Zhang, Sung-Soo Jun. 994-1000 [doi]
• A biomolecular implementation of logically reversible computation with minimal energy dissipationJoshua P. Klein, Thomas H. Leete, Harvey Rubin. 1001-1005 [doi]
• Aqueous computing: writing on moleculesTom Head, Masayuki Yamamura, Susannah Gal. 1006-1010 [doi]
• Physical separation of DNA according to Royal Road fitnessDavid Harlan Wood, Junghuei Chen. 1011-1018 [doi]
• Numerical and real time analysis of parallel distributed GAs with structured and panmictic populationsEnrique Alba 0001, Carlos Cotta, José M. Troya. 1019-1026 [doi]
• A parallel evolutionary algorithm for high-level program inductionPaul J. Walsh. 1027-1034 [doi]
• Parallel genetic algorithm fitness function team for eigenstructure assignment via LQR designsJoão Viana da Fonseca Neto, Celso Pascoli Bottura. 1035-1042 [doi]
• Using genetic algorithms for sparse distributed memory initializationAshraf Anwar, Dipankar Dasgupta, Stan Franklin. 1043-1050 [doi]
• Parallel combinatorial optimization with evolutionary cooperation between processorsJulio Ortega 0001, José Luis Bernier, Antonio F. Díaz, Ignacio Rojas, Moisés Salmerón, Alberto Prieto. 1051-1058 [doi]
• AIM-GP and parallelismPeter Nordin, Frank Hoffmann, Frank D. Francone, Markus Brameier, Wolfgang Banzhaf. 1059-1066 [doi]
• Ring around the PIG: a parallel GA with only local interactions coupled with a self-reconfigurable hardware platform to implement an O(1) evolutionary cycle for evolvable hardwareNicholas J. Macias. 1067-1078 [doi]
• Early-tardy scheduling under fuzzy due dates using a genetic algorithmS. S. Lam, X. Cai. 1079-1084 [doi]
• A multi-stage approach for the thermal generator maintenance scheduling problemEdmund K. Burke, Alistair J. Smith. 1085-1092 [doi]
• A genetic algorithm for designing job rotation schedules considering ergonomic constraintsBrian J. Carnahan, Mark S. Redfern, Bryan A. Norman. 1093-1098 [doi]
• A genetic algorithm for minimax optimization problemsJeffrey W. Herrmann. 1099-1103 [doi]
• A hybrid evolutionary search scheduling algorithm to solve the job shop scheduling problemPatrick van Bael, Dirk Devogelaere, Marcel Rijckaert. 1104-1109 [doi]
• Dynamic air traffic planning by genetic algorithmsSofiane Oussedik, Daniel Delahaye, Marc Schoenauer. 1110-1117 [doi]
• Scheduling and route selection for military land moves using genetic algorithmsDavid J. Montana, Garrett Bidwell, Gordon Vidaver, Jose Herrero. 1118-1123 [doi]
• Near-optimal scheduling of line production with an evolutionary algorithmBogdan Filipic, Darko Zupanic. 1124-1129 [doi]
• Job sequencing and inventory control for a parallel machine problem: a hybrid-GA approachJeffrey A. Joines, C. Thomas Culbreth. 1130-1137 [doi]
• Robust solutions to job shop problemsMikkel Tjornfelt-Jensen, Tage Kiilsholm Hansen. 1138-1144 [doi]
• Evolutionary algorithms in lecture timetablingPanagiotis Adamidis, Panagiotis Arapakis. 1145-1151 [doi]
• A new population-based incremental learning method for the traveling salesman problemZhenya He, Chengjian Wei, Bingyao Jin, Wenjiang Pei, Luxi Yang. 1152-1156 [doi]
• Texture synthesis with tandem genetic algorithms using nonparametric partially ordered Markov modelsDaniel A. Ashlock, Jennifer Davidson. 1157-1163 [doi]
• Evolutionary algorithms for the optimization of reliability in parallel/series redundant systemsAlain Ratle, Daoud Aït-Kadi. 1164-1170 [doi]
• Manipulation of non-linear IFS attractors using genetic programmingFrédéric Raynal, Evelyne Lutton, Pierre Collet, Marc Schoenauer. 1171-1177 [doi]
• Evolutionary design of time-way charts for plating machinesGeorges E. Matile, Andrea G. B. Tettamanzi, Marco Tomassini. 1178-1185 [doi]
• Resolution of simple plant location problems using an adapted genetic algorithmJorng-Tzong Horng, Li-Yi Lin, Baw-Jhiune Liu, Cheng-Yan Kao. 1186-1193 [doi]
• Genetic micro-rollback self-recovery synthesisKingkarn Sookhanaphibarn, Chidchanok Lursinsap. 1194-1199 [doi]
• Clique-based crossover for solving the timetabling problem with GAsHugo Terashima-Marin, Peter Ross, Manuel Valenzuela-Rendon. 1200-1206 [doi]
• Vehicle sequencing based on evolutionary computationJie Cheng, Yi Lu, Gint Puskorius, Sharon Bergeon, Jing Xiao. 1207-1216 [doi]
• Oil reservoir production forecasting with uncertainty estimation using genetic algorithmsHarald H. Soleng. 1217-1223 [doi]
• The dynamic evolutionary modeling of higher-order ordinary differential equations for time series real-time predictionLishan Kang, Hongqing Cao, Yuping Chen. 1224-1229 [doi]
• Feature extraction using evolutionary computationManabu Kotani, Masaki Nakai, Keno Akazawa. 1230-1236 [doi]
• Evolutionary design of neurofuzzy networks for pattern classificationEduardo Masato Iyoda, Leandro N. de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben. 1237-1244 [doi]
• Combining rules learnt using genetic algorithms for financial forecastingKumar Mehta, Siddhartha Bhattacharyya. 1245-1252 [doi]
• Investment decision making using FGP: a case studyJin Li, Edward P. K. Tsang. 1253-1259 [doi]
• Genetic evolution of regression models for business and economic forecastingMak A. Kaboudan. 1260-1270 [doi]
• Evolutionary design of electronic devices and circuitsAdrian Stoica, Gerhard Klimeck, Carlos Salazar-Lazaro, Didier Keymeulen, Anil Thakoor. 1271-1278 [doi]
• Simulating Boolean circuits by finite splicingKatrin Erk. 1279-1285 [doi]
• Representation, constraint satisfaction and the knapsack problemRobert Hinterding. 1286-1292 [doi]
• Verifying the equivalence of sequential circuits with genetic algorithmsFulvio Corno, M. Sonza Reorda, Giovanni Squillero. 1293-1298 [doi]
• Digital circuit evolution and fitness landscapesVesselin K. Vassilev, Julian F. Miller, Terry C. Fogarty. 1299-1308 [doi]
• Towards an evolutionary algorithm: a comparison of two feature selection algorithmsKan Chen, Huan Liu. 1309-1313 [doi]
• A survey of genetic feature selection in mining issuesMaría J. Martín-Bautista, M. Amparo Vila. 1314-1321 [doi]
• Discovering interesting prediction rules with a genetic algorithmEdgar Noda, Aley A. Freitas, Heitor S. Lopes. 1322-1329 [doi]
• Data mining using genetic programming: the implications of parsimony on generalization errorMichael J. Cavaretta, Kumar Chellapilla. 1330-1337 [doi]
• Evolution of logic programs: part-of-speech taggingPhilip G. K. Reiser, Patricia J. Riddle. 1338-1348 [doi]
• A preliminary investigation into evolving modular finite state machinesKumar Chellapilla, David Czarnecki. 1349-1356 [doi]
• On the search space of genetic programming and its relation to nature's search spaceMarc Ebner. 1357-1361 [doi]
• Graph based genetic algorithmsDan Ashlock, Mark D. Smucker, John Walker. 1362-1368 [doi]
• Crossover and diploid dominance with deceptive fitnessBuster Greene. 1369-1376 [doi]
• AppGP: an alternative structural representation for GPNicholas Freitag McPhee, Nicholas J. Hopper. 1377-1383 [doi]
• A unified model of non-panmictic population structures in evolutionary algorithmsJoachim Sprave. 1384-1391 [doi]
• Algorithms' local potential-breakfast included?Nicole Weicker, Karsten Weicker. 1392-1397 [doi]
• Theoretical comparisons of evolutionary computation and other optimization approachesJames C. Spall, Stacy D. Hill, David R. Stark. 1398-1405 [doi]
• Hierarchically consistent test problems for genetic algorithmsRichard A. Watson, Jordan B. Pollack. 1406-1413 [doi]
• Downhill walk from the top of a hill by evolutionary programmingAkira Imada. 1414-1418 [doi]
• Visual analysis of evolutionary algorithmsAnnie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey. 1419-1425 [doi]
• Niching in an ES/EP contextJian Zhang, Xiaojing Yuan, Zhixiang Zeng, Bill P. Buckles, Cris Koutsougeras, Saud Amer. 1426-1433 [doi]
• Enhancing transposition performanceAnabela Borges Simoes, Ernesto Costa. 1434-1444 [doi]
• An ant colony optimization approach for the single machine total tardiness problemAndreas Bauer, Bernd Bullnheimer, Richard F. Hartl, Christine Strauss. 1445-1450 [doi]
• New results on an ant-based heuristic for highlighting the organization of large graphsPascale Kuntz, Dominique Snyers. 1451-1458 [doi]
• A new version of ant system for subset problemsGuillermo Leguizamón, Zbigniew Michalewicz. 1459-1464 [doi]
• Hamiltonian(t)-an ant-inspired heuristic for recognizing Hamiltonian graphsIsrael A. Wagner, Alfred M. Bruckstein. 1465-1469 [doi]
• Ant colony optimization: a new meta-heuristicMarco Dorigo, Gianni Di Caro. 1470-1477 [doi]
• An ant system approach to redundancy allocationYun-Chia Liang, Alice E. Smith. 1478-1486 [doi]
• Controlling mutation/selection algorithms with stochastic approximationOlivier Francois. 1487-1493 [doi]
• A parabolic operator for parameter optimization problemsThomas J. R. Stidsen, Ole Caprani, Zbigniew Michalewicz. 1494-1500 [doi]
• It's all the same to me: revisiting rank-based probabilities and tournamentsBryant A. Julstrom. 1501-1505 [doi]
• Local search operators in fast evolutionary programmingHemanth K. Birru, Kumar Chellapilla, S. S. Rao. 1506-1513 [doi]
• Combining landscape approximation and local search in global optimizationKo-Hsin Liang, Xin Yao 0001, Charles S. Newton. 1514-1520 [doi]
• A genetic algorithm with a Mendel operator for global minimizationIn-Soo Song, Hyun-Wook Woo, Min-Jea Tahk. 1521-1526 [doi]
• Adding genetics to the standard PBIL algorithmMartin Schmidt, Kim Kristensen, Thomas Randers Jensen. 1527-1534 [doi]
• Guided crossover: a new operator for genetic algorithm based optimizationKhaled Rasheed. 1535-1541 [doi]
• Crossover operators that improve offspring fitnessChilukuri K. Mohan. 1542-1549 [doi]
• Directed mutation-a new self-adaptation for evolution strategiesLars Hildebrand, Bernd Reusch, Madjid Fathi. 1550-1557 [doi]
• Stochastic reverse hill climbing and iterated local searchCarlos Cotta, Enrique Alba, José M. Troya. 1558-1565 [doi]
• Generalizations of intermediate recombination in evolution strategiesThomas Bäck, Agoston E. Eiben. 1566-1573 [doi]
• Shuffle crossover and mutual informationForbes J. Burkowski. 1574-1580 [doi]
• Multi-parental extension of the unimodal normal distribution crossover for real-coded genetic algorithmsHajime Kita, Isao Ono, Shigenobu Kobayashi. 1581-1588 [doi]
• Multiple crossovers between multiple parents to improve search in evolutionary algorithmsSusana C. Esquivel, Héctor A. Leiva, Raúl Héctor Gallard. 1589-1594 [doi]
• Rank based crossover-a new technique to improve the speed and quality of convergence in GAGoutam Chakraborty, Kayo Hoshi. 1595-1604 [doi]
• A coevolutionary genetic algorithm for constrained optimizationHelio J. C. Barbosa. 1605-1611 [doi]
• Artificial curiosity based on discovering novel algorithmic predictability through coevolutionJürgen Schmidhuber. 1612-1618 [doi]
• Learning Nash equilibria by coevolving distributed classifier systemsFranciszek Seredynski, Cezary Z. Janikow. 1619-1626 [doi]
• On the improvement of coevolutionary optimizers by learning variable interdependenciesKarsten Weicker, Nicole Weicker. 1627-1632 [doi]
• Multinational evolutionary algorithmsRasmus K. Ursem. 1633-1640 [doi]
• Genetic programming and co-evolution with exogenous fitness in an artificial life environmentMichael Waters, John Sheppard. 1641-1650 [doi]
• Using cultural algorithms to improve performance in semantic networksNestor Rychtyckyj, Robert G. Reynolds. 1651-1656 [doi]
• Knowledge-based software testing agent using evolutionary learning with cultural algorithmsDavid A. Ostrowski, Robert G. Reynolds. 1657-1663 [doi]
• The Metrics Apprentice: using cultural algorithms to formulate quality metrics for software systemsGeorge S. Cowan, Robert G. Reynolds. 1664-1671 [doi]
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• Learning to assess the quality of genetic programs using cultural algorithmsGeorge S. Cowan, Robert G. Reynolds. 1679-1688 [doi]
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• Classifier systems evolving multi-agent system with distributed elitismGilles Énée, Cathy Escazut. 1740-1748 [doi]
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• A genetic programming heuristic for the one-machine total tardiness problemChristos Dimopoulos, Ali M. S. Zalzala. 2207-2214 [doi]
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• Materialized view selection using genetic algorithms in a data warehouse systemJorng-Tzong Horng, Yu-Jan Chang, Baw-Jhiune Liu, Cheng-Yan Kao. 2221-2230 [doi]
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• Spanning tree-based genetic algorithm for the bicriteria fixed charge transportation problemMitsuo Gen, Yinzhen Li. 2265-2271 [doi]
• Genetic algorithm for solving bicriteria network topology design problemJong Ryul Kim, Mitsuo Gen. 2272-2279 [doi]
• Genetic algorithms in lot sizing decisionsWilliam Hernandez, Gürsel A. Süer. 2280-2286 [doi]
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• Parallel sparse matrix ordering: quality improvement using genetic algorithmsWen-Yang Lin. 2295-2301 [doi]
• Genetic decoding of linear block codesFabbryccio A. C. M. Cardoso, Dalton Soares Arantes. 2302-2309 [doi]
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