Table of Contents

• Towards a Theory of Population-Based Incremental LearningMarkus Höhfeld, Günter Rudolph. 1-5 [doi]
• The gambler's ruin problem, genetic algorithms, and the sizing of populationsGeorges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller. 7-12 [doi]
• The mixing evolutionary algorithm-independent selection and allocation of trialsCees H. M. van Kemenade. 13-18 [doi]
• Landscape ruggedness in evolutionary algorithmsKrasimir Kolarov. 19-24 [doi]
• Linkage equilibrium and genetic algorithmsUday Kumar Chakraborty, Heinz Mühlenbein. 25-29 [doi]
• Genetic-entropic algorithm in NK-modelChang-Yong Lee, Seung Kee Han. 31-35 [doi]
• Multi-chromosome mixed encodings for heterogeneous problemsS. Ronald, S. Kirkby, Peter W. Eklund. 37-42 [doi]
• Robust encodings in genetic algorithms: a survey of encoding issuesSimon Ronald. 43-48 [doi]
• Distance functions for order-based encodingsSimon Ronald. 49-54 [doi]
• A method for chromosome handling of r-permutations of n-element set in genetic algorithmsGöktürk Üçoluk. 55-58 [doi]
• A multi-sexual genetic algorithm for multiobjective optimizationJoanna Lis, A. E. Eiben. 59-64 [doi]
• Adaptation in evolutionary computation: a surveyRobert Hinterding, Zbigniew Michalewicz, A. E. Eiben. 65-69 [doi]
• Knowledge-based self-adaptation in evolutionary programming using cultural algorithmsR. G. Reynolds, ChanJin Chung. 71-76 [doi]
• Stochastic optimization of control parameters in genetic algorithmsQ. Henry Wu, Y. J. Cao. 77-80 [doi]
• Solving 3-SAT by GAs adapting constraint weightsA. E. Eiben, J. K. van der Hauw. 81-86 [doi]
• Self-adaptation using multi-chromosomesRobert Hinterding. 87-91 [doi]
• A theoretical analysis of the non-uniform mutation operator for the modified genetic algorithmA. Neubauer. 93-96 [doi]
• Enhancing recombination with the Complementary Surrogate Genetic AlgorithmIsaac K. Evans. 97-102 [doi]
• Multiple Crossover Per Couple in genetic algorithmsSusana C. Esquivel, AK. V. Price. Leiva, Raúl Héctor Gallard. 103-106 [doi]
• Analysing crossover operators by search step sizeGuangming Lin, Xin Yao 0001. 107-110 [doi]
• An analysis on linear crossover for real number chromosomes in an infinite population sizeT. Nomura. 111-114 [doi]
• New parallel hybrid genetic algorithm based on molecular dynamics approach for energy minimization of atomistic systemsMassimo Celino, Paolo Palazzari, Nicoletta Pucello, M. Rosati, Vittorio Rosato. 115-119 [doi]
• Decision making in a hybrid genetic algorithmFernando G. Lobo, David E. Goldberg. 121-125 [doi]
• A hybrid strategy for load balancing in distributed systems environmentsSusana C. Esquivel, Mario Guillermo Leguizamón, Raúl Héctor Gallard. 127-132 [doi]
• A hybrid genetic algorithm for the provision of isochronous service in high speed networksMaria E. Markaki, Athanasios V. Vasilakos, Ioannis E. Kassotakis. 133-137 [doi]
• Stepping stones and hidden haystacks: when a genetic algorithm defeats a hillclimberD. Corne. 139-142 [doi]
• A comparative study of GA and orthogonal experimental designH. Tanaka. 143-146 [doi]
• An empirical comparison of simulated annealing and genetic algorithms on NK fitness landscapesLae-Jeong Park, Dongkyung Nam, Cheol Hoon Park, Sang-Hoon Oh. 147-151 [doi]
• nd ICEOKenneth V. Price. 153-157 [doi]
• Genetic local search for the TSP: new resultsPeter Merz, Bernd Freisleben. 159-164 [doi]
• A scatter search based approach for the quadratic assignment problemVan-Dat Cung, Thierry Mautor, Philippe Michelon, A. Tavares. 165-169 [doi]
• Asparagos96 and the traveling salesman problemMartina Gorges-Schleuter. 171-174 [doi]
• A simplex genetic algorithm hybridJohn Yen, Bogju Lee. 175-180 [doi]
• The firefly machine: online evolwareMoshe Sipper, Maxime Goeke, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini. 181-186 [doi]
• Evolvable hardware at function levelTetsuya Higuchi, Masahiro Murakawa, Masaya Iwata, Isamu Kajitani, Weixin Liu, Mehrdad Salami. 187-192 [doi]
• AdAM: a hardware evolutionary systemHitoshi Hemmi, Tomofumi Hikage, Katsunori Shimohara. 193-196 [doi]
• Evolving robot morphologyHenrik Hautop Lund, John Hallam, Wei-Po Lee. 197-202 [doi]
• Splicing systems and molecular processesT. Head. 203-205 [doi]
• A new algorithm for DNA based computationR. C. Murphy, Russell J. Deaton, Donald R. Franceschetti, S. E. Stevens, Max H. Garzon. 207-212 [doi]
• DNA implementation of simple Horn clause computationSatoshi Kobayashi, Takashi Yokomori, G. Sampei, K. Mizobuchi. 213-217 [doi]
• On the power of circular splicing systems and DNA computabilityTakashi Yokomori, Satoshi Kobayashi, Claudio Ferretti. 219-224 [doi]
• The splicing mechanism and the Connex memoryGheorghe Stefan, Mihaela Malita. 225-229 [doi]
• Identifying genetically spliced languagesS.-M. Kim. 231-235 [doi]
• Test tube systems with controlled applications of rulesRudolf Freund, Franziska Freund. 237-242 [doi]
• Joining and rotating data with moleculesMasanori Arita, Masami Hagiya, Akira Suyama. 243-248 [doi]
• Prolog approach to DNA computingValeria Mihalache. 249-254 [doi]
• DNA computing based on chaosGabriele Manganaro, José Pineda de Gyvez. 255-260 [doi]
• Ligation experiments in computing with DNANatasa Jonoska, Stephen A. Karl. 261-266 [doi]
• A DNA based implementation of an evolutionary search for good encodings for DNA computationRussell J. Deaton, R. C. Murphy, John A. Rose, Max H. Garzon, Donald R. Franceschetti, S. E. Stevens. 267-271 [doi]
• Computing by splicing: programmed and evolving splicing systemsGheorghe Paun, Grzegorz Rozenberg, Arto Salomaa. 273-277 [doi]
• A self-organizing system with cell-specializationK. Nakano, K. Konishi, R. Ishiyama, S. Ikeda. 279-284 [doi]
• The effects of combination of DNA coding method with Pseudo-Bacterial GATomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa. 285-290 [doi]
• Evolutionary transition on Virus-Evolutionary Genetic AlgorithmNaoyuki Kubota, T. Fukuda, T. Arakawa, Koji Shimojima. 291-296 [doi]
• Evolving communicating agents based on genetic programmingH. Iba, T. Nozoe, K. Ueda. 297-302 [doi]
• The particle swarm: social adaptation of knowledgeJ. Kennedy. 303-308 [doi]
• MAX-MIN Ant System and local search for the traveling salesman problemThomas Stützle, Holger H. Hoos. 309-314 [doi]
• Herby: an evolutionary artificial ecologyPaul Devine, Ray C. Paton. 315-318 [doi]
• A society of hill-climbersMichèle Sebag, Marc Schoenauer. 319-324 [doi]
• The emergence of insect protandry: a "natural" evolutionary computation applicationK. Downing. 325-330 [doi]
• Solving optimal control problems with a cost changing control by evolutionary algorithmsJ. Bobbin, Xin Yao. 331-336 [doi]
• Evolutionary search guided by the constraint network to solve CSPMaría Cristina Riff Rojas. 337-342 [doi]
• Constraint consistent genetic algorithmsR. Kowalczyk. 343-348 [doi]
• A peak shape identification genetic algorithm with a radial basis functionY. Fujimoto, S. Tsutsui. 349-354 [doi]
• Learning the local search range for genetic optimisation in nonstationary environmentsFrank Vavak, Ken Jukes, Terence C. Fogarty. 355-360 [doi]
• On the use of niching for dynamic landscapesWalter Cedeño, V. Rao Vemuri. 361-366 [doi]
• Visualizing the evolution of genetic algorithm search processesW. B. Shine, Christoph F. Eick. 367-372 [doi]
• Evolutionary and adaptive strategies for engineering design-an overall frameworkIan C. Parmee. 373-378 [doi]
• Evolutionary programming for designing manufacturing cellsGürsel A. Süer. 379-384 [doi]
• Dual mutation strategies for mixed-integer optimisation in power station designK. Chen, Ian C. Parmee, C. R. Gane. 385-390 [doi]
• Reducing computational expense associated with evolutionary detailed designHarish D. Vekeria, Ian C. Parmee. 391-396 [doi]
• Evolutionary segmentation of road traffic scenesSe Hyun Park, Jong Kook Lee, Hang Joon Kim. 397-400 [doi]
• Genetic algorithms for solving shortest path problemsMitsuo Gen, Runwei Cheng, Dingwei Wang. 401-406 [doi]
• Random Keys Genetic Algorithm With Adaptive Penalty Function For Optimization Of Constrained Facility Layout ProblemsB. A. Norman, A. E. Smhh. 407-411 [doi]
• Fuzzy goal programming using genetic algorithmM. Gen, K. Ida, J. Kim. 413-418 [doi]
• Evolutionary computation on multicriteria production process planning problemG. Zhou, M. Gen. 419-424 [doi]
• Multiple spindle CNC machinesB. A. Norman, J. C. Bean. 425-429 [doi]
• Application of an incremental evolution technique to spacecraft design optimizationA. S. Fukunaga. 431-435 [doi]
• Genetic design of analog IIR filters with variable time delays for optically controlled microwave signal processorsA. Neubauer. 437-442 [doi]
• Evolutionary programmingY. J. Cao, Q. H. Wu. 443-446 [doi]
• Automated synthesis of computational circuits using genetic programmingJohn R. Koza, Forrest H. Bennett III, J. Lohn, Frank Dunlap, Martin A. Keane, David Andre. 447-452 [doi]
• Microprocessor design verification by two-phase evolution of variable length testsJ. E. Smith, M. Bartley, Terence C. Fogarty. 453-458 [doi]
• An evolutionary approach to color image quantizationBernd Freisleben, A. Schrader. 459-464 [doi]
• Evolutionary computation applied to 3D image reconstructionY. Fujiwara, H. Sawai. 465-469 [doi]
• Considering optimum number of segmentation areasM. Yoshimura, S. Oe. 471-476 [doi]
• A Java collaborative interface for genetic programming applications: image analysis for scientific inquiryTommaso F. Bersano-Begey, Jason M. Daida, John F. Vesecky, Frank L. Ludwig. 477-482 [doi]
• Adding memory to the Evolutionary Planner/NavigatorKrzysztof Trojanowski, Zbigniew Michalewicz, Jing Xiao 0001. 483-487 [doi]
• Generation of optimal fault tolerant locomotion of the hexapod robot over rough terrain using evolutionary programmingJung-Min Yang, Jong-Hwan Kim. 489-494 [doi]
• Evolving sufficient robot controllersHenrik Hautop Lund, John Hallam. 495-499 [doi]
• Applying genetic programming to evolve behavior primitives and arbitrators for mobile robotsWei-Po Lee, John Hallam, Henrik Hautop Lund. 501-506 [doi]
• Hybrid evolutionary motion planning via visibility-based repairGerry V. Dozier, Albert C. Esterline, Abdollah Homaifar, Marwan Bikdash. 507-511 [doi]
• Finding a perceptual uniform color space with evolution strategiesGünther R. Raidl, Ingeborg Tastl. 513-517 [doi]
• Function approximator design using genetic algorithmsM. A. Ahmed, K. A. DeJong. 519-524 [doi]
• Design of vector quantization codebooks using a genetic algorithmYiaowei Zheng, Bryant A. Julstrom, Weidong Cheng. 525-529 [doi]
• Differential evolution for dynamic optimization of differential-algebraic systemsFeng-Sheng Wang, Ji-Pyng Chiou. 531-536 [doi]
• Fast feature selection with genetic algorithms: a filter approachPier Luca Lanzi. 537-540 [doi]
• A genetic algorithm for the minimum weight triangulationKaihuai Qin, Wenping Wang, Minglun Gong. 541-546 [doi]
• Genetic programming for vehicle dispatchingIlham Benyahia, Jean-Yves Potvin. 547-552 [doi]
• Phenotypic genetic algorithm for partitioning problemK. Tagawa, T. Fukui, H. Haneda. 553-556 [doi]
• A multi-layer detailed routing approach based on evolutionary algorithmsNicole Göckel, Rolf Drechsler, B. Becker. 557-562 [doi]
• A decision aid for theater missile defenseD. L. Pepyne, Douglas P. Looze, D. A. Logan, Nils R. Sandell, R. LeBlanc. 563-568 [doi]
• Exogenous parameter selection in a real-valued genetic algorithmCharles E. Kaiser, Gary B. Lamont, Laurence D. Merkle, George H. Gates Jr., Ruth Pachter. 569-574 [doi]
• Influencing parameters of evolutionary algorithms for sequencing problemsNicole Göckel, Rolf Drechsler. 575-580 [doi]
• Using a genetic algorithm for communication link partitioningJu-Hyun Lee, Yanghee Choi, Byoung-Tak Zhang, Chongsang Kim. 581-584 [doi]
• Fuzzy system design with a cascaded genetic algorithmHenning Heider, Thorsten Drabe. 585-588 [doi]
• A study on fuzzy rules discovery using Pseudo-Bacterial Genetic Algorithm with adaptive operatorNorberto Eiji Nawa, Tomonori Hashiyama, Takeshi Furuhashi, Yoshiki Uchikawa. 589-593 [doi]
• Tuning of a fuzzy logic power system stabilizer using genetic algorithmsMohamed A. Abido, Youssef Lotfy Abdel-Magid. 595-599 [doi]
• A genetic algorithm for task distributionThorsten Drabe, Wolfgang Bressgott. 601-604 [doi]
• Evolving modular neural networks which generalise wellYong Liu, Xin Yao. 605-610 [doi]
• Model-based evolutionary computing: a neural network and genetic algorithm architectureL. Bull. 611-616 [doi]
• Exploring the effects of Lamarckian and Baldwinian learning in evolving recurrent neural networksK. W. C. Ku, M. W. Mak. 617-621 [doi]
• Evolutionary fuzzy modeling using fuzzy neural networks and genetic algorithmTakeshi Furuhashi, Seiichi Matsushita, Hiroaki Tsutsui. 623-627 [doi]
• The importance of maintaining behavioural link between parents and offspringXin Yao. 629-633 [doi]
• A neural network that uses evolutionary learningMario Köppen, M. Teunis, Bertram Nickolay. 635-639 [doi]
• EditEr: a combination of IEA and CEAQiangfu Zhao. 641-645 [doi]
• Combining modular neural networks developed by evolutionary algorithmSung-Bae Cho. 647-650 [doi]
• Structured learning in recurrent neural network using genetic algorithm with internal copy operatorT. Kumagai, M. Wada, S. Mikami, R. Hashimoto. 651-656 [doi]
• An evolutionary heuristic for knowledge base partitioning problemP. Dutta. 657-662 [doi]
• Towards the evolution of training data sets for artificial neural networksHelmut A. Mayer, Roland Schwaiger. 663-666 [doi]
• Evolutionary projection neural networksMin Woong Hwang, Jin-Young Choi, Jaehong Park. 667-671 [doi]
• Evolution of fuzzy nearest neighbor neural networksH. Ishibuchi, T. Nakashima. 673-678 [doi]
• Application of an evolution strategy to the Hopfield model of associative memoryA. Imada, K. Araki. 679-683 [doi]
• Speeding-up adaptive heuristic critic learning with FPGA-based unsupervised clusteringAndrés Pérez-Uribe, E. Sanchez. 685-689 [doi]
• Automated television scheduling via evolving agentsWei Lin, R. N. Bernard, G. M. Janes, K. W. Farrell. 691-696 [doi]
• Monitoring and interpreting evolved behaviours in an oligopolyYen Cheung, Sue Bedingfield, Stephen Huxford. 697-701 [doi]
• Coevolutionary instability in games: an analysis based on genetic algorithmsShu-Heng Chen, Chih-Chi Ni. 703-708 [doi]
• Genetic algorithm involving coevolution mechanism to search for effective genetic informationHisashi Handa, Norio Baba, Osamu Katai, Tetsuo Sawaragi, Tadashi Horiuchi. 709-714 [doi]
• Machine learning using a genetic algorithm to optimise a draughts program board evaluation functionK. J. Chisholm, P. V. G. Bradbeer. 715-720 [doi]