Abstract is missing.
- Multi-objective and MGG evolutionary algorithm for constrained optimizationYuren Zhou, Yuanxing Li, Jun He, Lishan Kang. 1-5 [doi]
- Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problemsEfrén Mezura-Montes, Carlos A. Coello Coello. 6-13 [doi]
- An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithmsJhingzi Li, Lishan Kang, Zhijian Wu. 14-21 [doi]
- The effect of introducing a tag node in solving scheduling problems using histogram based sampling algorithmsShigeyoshi Tsutsui, Tomoyuki Hiroyasu, Mitsunori Miki. 22-29 [doi]
- Sequential versus parallel cooperative coevolutionary (1+1) EAsThomas Jansen, R. Paul Wiegand. 30-37 [doi]
- A coevolutionary approach for optimization of image enhancement filtersMohamed Mohideen Anver, Russel J. Stonier. 38-45 [doi]
- A note on general adaptation in populations of painting robotsDan Ashlock, Elizabeth Blankenship, Jonathan Gandrud. 46-53 [doi]
- Transcription and evolution of a virtual bacteria cultureRicardo M. Hoar, Joanne K. Penner, Christian Jacob. 54-61 [doi]
- Developmental mappings and phenotypic complexityPer Kristian Lehre, Pauline C. Haddow. 62-68 [doi]
- Genetic network programming with learning and evolution for adapting to dynamical environmentsShingo Mabu, Kotaro Hirasawa, Jinglu Hu. 69-76 [doi]
- Development of a distributed evolutionary computing packageKay Chen Tan, W. Peng, Tong Heng Lee, Ji Cai. 77-84 [doi]
- Genetic algorithm based test data generatorIrman Hermadi, Moataz A. Ahmed. 85-91 [doi]
- MEH: modular evolvable hardware for designing complex circuitsJin-Hyuk Hong, Sung-Bae Cho. 92-99 [doi]
- Design of a fuzzy logical controller by immune algorithm with application to an inverted pendulum systemXing Quan Zuo, Shi Yong Li. 100-106 [doi]
- An evolutionary approach for reducing the switching activity in address busesGiuseppe Ascia, Vincenzo Catania, Maurizio Palesi, Antonio Parlato. 107-114 [doi]
- VLSI circuit design using an object-oriented framework of evolutionary graph generation systemNaofumi Homma, Masanori Natsui, Takafumi Aoki, Tatsuo Higuchi. 115-122 [doi]
- Artificial immune system (AIS) research in the last five yearsDipankar Dasgupta, Zhou Ji, F. Gonzalez. 123-130 [doi]
- AISEC: an artificial immune system for e-mail classificationAndrew Secker, Alex Alves Freitas, Jon Timmis. 131-138 [doi]
- Novel steganography detection using an artificial immune system approachJacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont. 139-145 [doi]
- The immune response of an artificial immune network (aiNet)Leandro Nunes de Castro. 146-153 [doi]
- On the computational power of constant-depth quantum circuits with gates for additionYasuhiro Takahashi, Yasuhito Kawano, Masahiro Kitagawa. 154-161 [doi]
- Stochastic neural network models for gene regulatory networksTianhai Tian, Kevin Burrage. 162-169 [doi]
- Exploring the search space of quantum programsAndré Leier, Wolfgang Banzhaf. 170-177 [doi]
- On setting the parameters of quantum-inspired evolutionary algorithm for practical applicationKuk-Hyun Han, Jong-Hwan Kim. 178-194 [doi]
- Dynamics of gene expression in an artificial genomeKai Willadsen, Janet Wiles. 185-190 [doi]
- Genome-physics interaction as a new concept to reduce the number of genetic parameters in artificial evolutionPeter Eggenberger Hotz. 191-198 [doi]
- Structure and dynamics of a gene network model incorporating small RNAsNicholas Geard, Janet Wiles. 199-206 [doi]
- Estimation of gene regulatory network by genetic algorithm and pairwise correlation analysisShin Ando, Hitoshi Iba. 207-214 [doi]
- Data clustering using particle swarm optimizationD. W. van der Merwe, Andries Petrus Engelbrecht. 215-220 [doi]
- Empirical study of particle swarm optimizer with an increasing inertia weightYong-ling Zheng, Long-hua Ma, Li-yan Zhang, Ji-xin Qian. 221-226 [doi]
- A new particle swarm optimiser for linearly constrained optimisationUlrich Paquet, Andries Petrus Engelbrecht. 227-233 [doi]
- Comparing PSO structures to learn the game of checkers from zero knowledgeNelis Franken, Andries Petrus Engelbrecht. 234-241 [doi]
- A genetic algorithm for energy efficient device scheduling in real-time systemsLirong Tian, Tughrul Arslan. 242-247 [doi]
- Evolving data classification programs using genetic parallel programmingSin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung. 248-255 [doi]
- A genetic algorithm with multiple crossover operators for optimal frequency assignment problemAdnan Acan, Hakan Altinçay, Yüce Tekol, Ahmet Ünveren. 256-263 [doi]
- An evolutionary approach to behavioural-level synthesisGary Gréwal, M. O Cleirigh, Mark Wineberg. 264-272 [doi]
- Where are bottlenecks in NK fitness landscapes?Sébastien Vérel, Philippe Collard, Manuel Clergue. 273-280 [doi]
- Homology gives size control in genetic programmingMichael Defoin-Platel, Manuel Clergue, Philippe Collard. 281-288 [doi]
- Fitness distance correlation in genetic programming: a constructive counterexampleLeonardo Vanneschi, Marco Tomassini, Philippe Collard, Manuel Clergue. 289-296 [doi]
- An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithmsKit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty. 297-304 [doi]
- Diversity analysis in cellular and multipopulation genetic programmingGianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, Leonardo Vanneschi, Marco Tomassini. 305-311 [doi]
- Improvement of clustal-derived sequence alignments with evolutionary algorithmsRené Thomsen, Gary B. Fogel, Thiemo Krink. 312-319 [doi]
- Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic dataClare Bates Congdon, Kevin J. Septor. 320-326 [doi]
- Physical mapping using annealing and evolutionary algorithmsJakob Vesterstrom. 327-334 [doi]
- Permutation-based RNA secondary structure prediction via a genetic algorithmKay C. Wiese, Alain Deschênes, Edward Glen. 335-342 [doi]
- A distributed genetic algorithm for RNA secondary structure predictionAndrew Hendriks, Kay C. Wiese, Edward Glen, Alain Deschênes. 343-350 [doi]
- Learning DFA: evolution versus evidence driven state mergingSimon M. Lucas, T. Jeff Reynolds. 351-358 [doi]
- Anytime coevolution of form and functionMagdalena D. Bugajska, Alan C. Schultz. 359-366 [doi]
- Evolutionary exploration of dynamic swarm behaviourHenry Kwong, Christian Jacob. 367-374 [doi]
- Digital circuit design through simulated evolution (SimE)Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-Saiari, Bambang A. B. Sarif. 375-381 [doi]
- On the impact of modelling, robustness and diversity to the performance of a multi-objective evolutionary algorithm for digital VLSI system designRobert Thomson, Tughrul Arslan. 382-389 [doi]
- Increasing the accuracy of a spam-detecting artificial immune systemTerri Oda, Tony White. 390-396 [doi]
- An evolutionary algorithm with population immunity and its application on autonomous robot controlLei Wang, Béat Hirsbrunner. 397-404 [doi]
- Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sectorJungwon Kim, Arlene Ong, Richard E. Overill. 405-412 [doi]
- Chasing chaosJohnny Kelsey, Jonathan Timmis, Andrew Hone. 413-419 [doi]
- Implementation of an immuno-genetic network on a real Khepera II robotPatrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben. 420-426 [doi]
- Critical dynamics in evolutionary algorithmsYaniv Bernstein, Xiaodong Li. 427-434 [doi]
- The discrete gradient evolutionary strategy method for global optimizationHussein A. Abbass, A. M. Bagirov, J. Zhang. 435-442 [doi]
- Playing in continuous spaces: some analysis and extension of population-based incremental learningBo Yuan, Marcus Gallagher. 443-450 [doi]
- On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generatorBo Yuan, Marcus Gallagher. 451-458 [doi]
- Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealingMitsunori Miki, Tomoyuki Hiroyasu, Jun ya Wako, Takeshi Yoshida. 459-466 [doi]
- Co-evolutionary learning and hierarchical fuzzy control for the inverted pendulumRussel J. Stonier, N. Young. 467-473 [doi]
- Pseudo-coevolutionary genetic algorithms for power electronic circuits optimizationJun Zhang, Henry Shu-Hung Chung, Wai-Lun Lo, Eugene P. W. Tam, J.-J. Lee, Angus K. M. Wu. 474-481 [doi]
- A coevolutionary multi-objective evolutionary algorithmCarlos A. Coello Coello, Margarita Reyes Sierra. 482-489 [doi]
- Adaptivity in cell based optimization for information ecosystemsJoseph A. Rothermich, Fang Wang, Julian Francis Miller. 490-497 [doi]
- Co-evolving memetic algorithms: a learning approach to robust scalable optimisationJ. E. Smith. 498-505 [doi]
- Real-time adaptation technique to real robots: an experiment with a humanoid robotShotaro Kamio, Hitoshi Iba. 506-513 [doi]
- Evolving recurrent neural controllers for sequential tasks: a parallel implementationGenci Capi, Kenji Doya. 514-519 [doi]
- An evolutionary multi-agent system for object recognition in satellite imagesHoi Shun Miu, Kwong-Sak Leung, Yee Leung. 520-527 [doi]
- Evolution of optimal compute server clusters for dynamic load-balancing systemsLeland Hovey, Dmitri E. Volper, Jae C. Oh. 528-535 [doi]
- Comparison of sampling sizes for the co-evolution of cooperative agentsGary B. Parker, H. Joseph Blumenthal. 536-543 [doi]
- Genetic algorithms applied to airport ground traffic optimizationJean-Baptiste Gotteland, Nicolas Durand. 544-551 [doi]
- Reducing execution time on genetic algorithm in real-world applications using fitness prediction: parameter optimization of SRM controlAtsuko Mutoh, Tsuyoshi Nakamura, Shohei Kato, Hidenori Itoh. 552-559 [doi]
- Evolutionary estimation of assignment-ordering function for CSP-modeled combinatorial optimizationAdnan Acan, Ahmet Ünveren, Yüce Tekol. 560-565 [doi]
- Independent constraint satisfaction and its application to sewerage system controlKokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi. 566-573 [doi]
- A classifier system in real applications for robot navigationRenato Reder Cazangi, Fernando J. Von Zuben, Maurício Figueiredo. 574-580 [doi]
- Tuning pattern classifier parameters using a genetic algorithm with an application in mobile roboticsJianxiong Wang, Tom Downs. 581-586 [doi]
- Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithmZhao Xu, Zhao Yang Dong, K. P. Wong. 587-592 [doi]
- Application of differential evolution for harmonic worst-case identification of mass rapid transit power supply systemC. S. Chang, L. R. Lu, F. Wang. 593-599 [doi]
- Parallel hierarchical adaptive genetic algorithm for fragment assemblyKieun Kim, Chilukuri K. Mohan. 600-607 [doi]
- A learning approach for performance evaluation of local networkYanan Zhang, Wanquan Liu, Zhaoyang Dong. 608-614 [doi]
- Finding multiple solutions based on an evolutionary algorithm for inference of genetic networks by S-systemRyohei Morishita, Hiroaki Imade, Isao Ono, Norihiko Ono, Masahiro Okamoto. 615-622 [doi]
- A framework of grid-oriented genetic algorithms for large-scale optimization in bioinformaticsHiroaki Imade, Ryohei Morishita, Isao Ono, Norihiko Ono, Masahiro Okamoto. 623-630 [doi]
- Inference of S-system models of genetic networks using a genetic local searchShuhei Kimura, Mariko Hatakeyama, Akihiko Konagaya. 631-638 [doi]
- Chemical genetic algorithms - coevolutionary genotype-phenotype mapping by modelling of metabolism in cellHidefumi Sawai, Hideaki Suzuki. 639-646 [doi]
- Comparative studies on micro heat exchanger optimisationTatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff. 647-654 [doi]
- Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithmKang Tai, Shamim Akhtar. 655-662 [doi]
- Comparing neural networks and Kriging for fitness approximation in evolutionary optimizationLars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff. 663-670 [doi]
- A bit-array representation GA for structural topology optimizationSheng Yin Wang, Kang Tai. 671-677 [doi]
- Using an evolutionary algorithm for bandwidth minimizationAndrew Lim, Brian Rodrigues, Fei Xiao. 678-683 [doi]
- Group selection and its application to constrained evolutionary optimizationMing Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama. 684-691 [doi]
- Evolution strategies assisted by Gaussian processes with improved preselection criterionHolger Ulmer, Felix Streichert, Andreas Zell. 692-699 [doi]
- Improving migration by diversityJörg Denzinger, Jordan Kidney. 700-707 [doi]
- A modified ant colony algorithm for evolutionary design of digital circuitsMostafa Abd-El-Barr, Sadiq M. Sait, Bambang A. B. Sarif, Uthman S. Al-Saiari. 708-715 [doi]
- Evolution of hierarchical neural networks for time-dependent cognitive processes: key recognition for musical compositionsJaime J. Dávila. 716-722 [doi]
- An evolutionary approach to microstructure optimisation of stereolithographic modelsSiavash Haroun Mahdavi, Sean Hanna. 723-730 [doi]
- Identification of functionality during development on a virtual Sblock FPGAGunnar Tufte, Pauline C. Haddow. 731-738 [doi]
- Symbiotic evolutional models in multiagent systemsToru Eguchi, Kotaro Hirasawa, Jinglu Hu. 739-746 [doi]
- Combining genes and memes to speed up evolutionDiego Federici. 747-754 [doi]
- Elucidating the benefits of a self-adaptive Pareto EMO approach for evolving legged locomotion in artificial creaturesJason Teo, Hussein A. Abbass. 755-762 [doi]
- A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approachJoe Imae, Y. Kikuchi, N. Ohtsuki, Tomoaki Kobayashi. 763-769 [doi]
- A hierarchical particle swarm optimizerStefan Janson, Martin Middendorf. 770-776 [doi]
- Swarm optimization with instinct-driven particlesAshraf M. Abdelbar, Suzan Abdelshahid. 777-782 [doi]
- Adaptive particle swarm optimisation for high-dimensional highly convex search spacesD. Tsou, Cara MacNish. 783-789 [doi]
- Parameter identification of induction motors using differential evolutionRasmus K. Ursem, Pierré Vadstrup. 790-796 [doi]
- Towards effective subspace clustering with an evolutionary algorithmIoannis A. Sarafis, Philip W. Trinder, Ali M. S. Zalzala. 797-806 [doi]
- Predicting biochemical interactions - human P450 2D6 enzyme inhibitionWilliam B. Langdon, S. J. Barrett, Bernard F. Buxton. 807-814 [doi]
- Genetic algorithms in stochastic optimisationL. A. Sanabria, Ben Soh, Tharam S. Dillon, L. Chang. 815-822 [doi]
- DIWA: device independent wafermap analysisEmilio Miguelañez Martín, Ali M. S. Zalzala, Paul Tabor. 823-829 [doi]
- Evolving Turing Complete representationsJohn R. Woodward. 830-837 [doi]
- Finite population models of dynamic optimization with stochastically alternating fitness functionsAnthony M. L. Liekens, Huub M. M. ten Eikelder, Peter A. J. Hilbers. 838-845 [doi]
- Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic propertiesAmbedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar. 846-853 [doi]
- Comparing representations and recombination operators for the multi-objective 0/1 knapsack problemChristine L. Mumford. 854-861 [doi]
- Pareto-based multi-objective differential evolutionFeng Xue, Arthur C. Sanderson, Robert J. Graves. 862-869 [doi]
- Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithmsXiaolin Hu, Zhangcan Huang, Zhongfan Wang. 870-877 [doi]
- A critical survey of performance indices for multi-objective optimisationTatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. 878-885 [doi]
- Faster evolution and evolvability control of genetic algorithms using a Softmax Mutation methodY. Sasaki, Hugo de Garis. 886-891 [doi]
- Putting the user in the loop: on-line user adaption of genetic algorithmsSimon P. Hammond. 892-897 [doi]
- A new multiobjective evolutionary algorithm: OMOEASanyou Zeng, Lixin Ding, Yuping Chen, Lishan Kang. 898-905 [doi]
- An evolutionary algorithm for magic squaresTao Xie, Lishan Kang. 906-913 [doi]
- An new evolutionary multi-objective optimization algorithmShengjing Mu, Hongye Su, Jian Chu, Yue-Xuan Wang. 914-920 [doi]
- Symbiotic networksK. P. Pieters. 921-927 [doi]
- Applying sample weighting methods to genetic parallel programmingSin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung. 928-935 [doi]
- Pyramid search: finding solutions for deceptive problems quickly in genetic programmingVictor Ciesielski, Xiaodong Li 0001. 936-943 [doi]
- Truck backing up neural network controller optimized by genetic algorithmsM. L. Ho, P. T. Chan, Ahmad B. Rad, C. H. Mak. 944-950 [doi]
- Solving dynamic TSP with evolutionary approach in real timeAimin Zhou, Lishan Kang, Zhenyu Yan 0001. 951-957 [doi]
- Application of neuro-fuzzy technique to the bandwidth reservation for sectored cellular communicationsChenn-Jung Huang, Wei Kuang Lai. 958-965 [doi]
- Scheduling a specific type of batch process with evolutionary computationJ. Heinonen, F. Pettersson. 966-970 [doi]
- A Taguchi method-based crossover operator for the parametrical problemsKit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty. 971-977 [doi]
- Trying to evolve sorting networks in EchoLee K. Graham, Franz Oppacher. 978-982 [doi]
- Efficient evolutionary algorithms for the clustering problem in directed graphsC. R. Dias, Luiz Satoru Ochi. 983-990 [doi]
- A neural learning classifier system with self-adaptive constructivismLarry Bull, Jacob Hurst. 991-997 [doi]
- Unsupervised hierarchical clustering via a genetic algorithmWilliam A. Greene. 998-1005 [doi]
- A Kernighan-Lin local improvement heuristic that softens several hard problems in genetic algorithmsWilliam A. Greene. 1006-1013 [doi]
- Using genetic programming with negative parsimony pressure on exons for portfolio optimizationNils Svangård, Peter Nordin, Stefan Lloyd. 1014-1017 [doi]
- How does noise propagate in genetic networks? A new approach to understand stochasticity in genetic networksTetsuya Kobayashi, Kazuyuki Aihara. 1018-1025 [doi]
- A fast and elitist parallel evolutionary algorithm for solving systems of non-linear equationsZhijian Wu, Lishan Kang. 1026-1028 [doi]
- Adapting the genetic algorithm to the travelling salesman problemWayne Pullan. 1029-1035 [doi]
- Virtual Stylist project - examination of adapting clothing search system to user's subjectivity with interactive genetic algorithmsMasataka Tokumaru, Noriaki Muranaka, Shigeru Imanishi. 1036-1043 [doi]
- A new design of genetic algorithm for bin packingHitoshi Iima, T. Yakawa. 1044-1049 [doi]
- Learning single-machine scheduling heuristics subject to machine breakdowns with genetic programmingWenjun Yin, Min Liu, Cheng Wu. 1050-1055 [doi]
- GA or GP? That is not the questionJohn R. Woodward. 1056-1063 [doi]
- Application of genetic algorithms to robotic swarm simulationKai Wing Tang, Ray A. Jarvis. 1064-1071 [doi]
- Self adaptive island GAEiichi Takashima, Yoshihiro Murata, Naoki Shibata, Minoru Ito. 1072-1079 [doi]
- Resource constraints machine scheduling: a genetic algorithm approachYanzhi Li, Fan Wang 0003, Andrew Lim 0001. 1080-1085 [doi]
- Discussion on searching capability of distributed genetic algorithm on the gridYusuke Tanimura, Tomoyuki Hiroyasu, Mitsunori Miki. 1086-1094 [doi]
- Multi-objective structure selection for radial basis function networks based on genetic algorithmToshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki. 1095-1100 [doi]
- Bayesian optimization algorithm for multi-objective solutions: application to electric equipment configuration problems in a power plantYuji Katsumata, Takao Terano. 1101-1107 [doi]
- Elitist multiobjective evolutionary algorithm for environmental/economic dispatchRobert T. F. Ah King, Harry C. S. Rughooputh. 1108-1114 [doi]
- Multi-agent learning by evolutionary subsumptionHongwei Liu, Hitoshi Iba. 1115-1122 [doi]
- A comparison of relative accuracy and raw accuracy in XCSPier Luca Lanzi. 1123-1129 [doi]
- On the use of particle swarm optimization with multimodal functionsSusana C. Esquivel, Carlos A. Coello Coello. 1130-1136 [doi]
- Evolving towers in a 3-dimensional simulated environmentGary B. Parker, Andrey S. Anev, Dejan Duzevik. 1137-1144 [doi]
- Multi-chromosomal representations and chromosome shuffling in evolutionary algorithmsHelmut A. Mayer, M. Spitzlinger. 1145-1149 [doi]
- An evolutionary algorithm to solve the short-term electrical generation sheduling problemJorge Maturana, María-Cristina Riff. 1150-1156 [doi]
- Estimating genome reversal distance by genetic algorithmAndy Auyeung, Ajith Abraham. 1157-1161 [doi]
- IS-PAES: switching constraints on and off for multiobjective optimizationArturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello. 1162-1169 [doi]
- Use of case injection to bias genetic algorithm solutions of similar problemsRich Drewes, Sushil J. Louis, Chris Miles, John R. McDonnell, Nick Gizzi. 1170-1177 [doi]
- System modeling using GA and control for nonlinear systemsK. Yuasa, Kenji Takao, Toru Yamamoto, Takao Hinamoto. 1178-1185 [doi]
- XCS with stack-based genetic programmingPier Luca Lanzi. 1186-1191 [doi]
- GA based optimisation of a multi-agent soft computing model for segmentation and classification of unstained mammalian cell imagesChris Lai, Rajiv Khosla, Yasue Mitsukura. 1192-1198 [doi]
- Parallel evolutionary optimized pitching motion control for F-16 aircraftKang-Hee Lee, Jong-Hwan Kim 0001. 1199-1205 [doi]
- Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammographyPing Zhang 0008, Brijesh Varma, Kuldeep Kumar. 1206-1213 [doi]
- Hyperheuristics for managing a large collection of low level heuristics to schedule personnelPeter I. Cowling, Konstantin Chakhlevitch. 1214-1221 [doi]
- Handling integrated quantitative and qualitative search space in a real world optimisation problemVictor Oduguwa, Ashutosh Tiwari, Rajkumar Roy. 1222-1229 [doi]
- Global optimization of continuous problems using stochastic genetic algorithmZhenguo Tu, Yong Lu. 1230-1236 [doi]
- Single and multi-objective design of Yagi-Uda antennas using computational intelligenceNeelakantam Venkatarayalu, Tapabrata Ray. 1237-1242 [doi]
- A distributed parallel genetic local search in distributed computing environmentsYiyuan Gong, Morikazu Nakamura, Takashi Matsumura. 1243-1250 [doi]
- A genetic hill climbing method for function optimization using a neighborhood based on interactions among parametersHiroshi Takeichi, Naoaki Mizuguchi, Isao Ono, Norihiko Ono. 1251-1258 [doi]
- A mating strategy for multi-parent genetic algorithms by integrating tabu searchChuan-Kang Ting, Hans Kleine Büning. 1259-1266 [doi]
- Evolving binary constraint satisfaction problem instances that are difficult to solveJano I. van Hemert. 1267-1273 [doi]
- Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problemWouter Boomsma. 1274-1279 [doi]
- Coast control of train movement with genetic algorithmK.-K. Wong, Tin-kin Ho. 1280-1287 [doi]
- Searching oligo sets of human chromosome 12 using evolutionary strategiesYen Yen Joe, Huan Xu, Zhao Yang Dong, Huck-Hui Ng, Arthur Tay. 1288-1293 [doi]
- Hybrid genetic algorithm based fuel restricted real power optimization for utility systemN. Kumarappan, M. R. Mohan. 1294-1301 [doi]
- Lateral acceleration control design of a non-linear homing missile using multi-objective evolutionary optimisationTarapong Sreenuch, Antonios Tsourdos, Brian A. White, Evan J. Hughes. 1302-1309 [doi]
- Using constructive evolutionary programming to optimise multi-storage electrical power supply systems operationT. D. H. Cau, J. Kaye. 1310-1314 [doi]
- Parallel training for neural networks using PVM with shared memoryMarcelo A. A. Araújo, Edilberto P. Teixeira, Fábio R. Camargo, João P. V. Almeida. 1315-1322 [doi]
- Proposal of probabilistically and dynamically separating GAK. Nakayama, Katsunori Shimohara, Osamu Katai. 1323-1330 [doi]
- A simplified artificial life model for multiobjective optimisation: a preliminary reportAdam Berry, Peter Vamplew 0001. 1331-1339 [doi]
- Thermal agents: an application of genetic programming to virtual engineeringDaniel A. Ashlock, Kenneth M. Bryden. 1340-1347 [doi]
- Ants can play prisoner's dilemmaYüce Tekol, Adnan Acan. 1348-1354 [doi]
- Improving the performance of ACO algorithms by adaptive control of candidate setIsamu Watanabe, Shouichi Matsui. 1355-1362 [doi]
- A chromosome-based evaluation model for computer defense immune systemsZejun Wu, Hongbin Dong, Yiwen Liang, Robert I. McKay. 1363-1369 [doi]
- Swarms on continuous dataVitorino Ramos, Ajith Abraham. 1370-1375 [doi]
- Interactive evolution of ant paintingsSébastien Aupetit, V. Bordeau, Nicolas Monmarché, Mohamed Slimane, Gilles Venturini. 1376-1383 [doi]
- Web usage mining using artificial ant colony clustering and linear genetic programmingAjith Abraham, Vitorino Ramos. 1384-1391 [doi]
- Adapting mutations in genetic algorithms using gene flow principlesGarrison W. Greenwood. 1392-1397 [doi]
- Is increased diversity in genetic programming beneficial? An analysis of lineage selectionEdmund K. Burke, Steven M. Gustafson, Graham Kendall, Natalio Krasnogor. 1398-1405 [doi]
- A study on allelic recombinationCarlos Cotta. 1406-1413 [doi]
- Evolutionary search and constraint violationsThomas Philip Runarsson, Xin Yao 0001. 1414-1419 [doi]
- Pair-wise test coverage using genetic algorithmsSyed A. Ghazi, Moataz A. Ahmed. 1420-1424 [doi]
- Particle swarm optimization with mutationA. Stacey, M. Jancic, I. Grundy. 1425-1430 [doi]
- Do ants paint trucks better than chickens? Markets versus response thresholds for distributed dynamic schedulingO. Kittithreerapronchai, C. Anderson. 1431-1439 [doi]
- A first study of fuzzy cognitive maps learning using particle swarm optimizationKonstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis. 1440-1447 [doi]
- Investigating the existence of function roots using particle swarm optimizationKonstantinos E. Parsopoulos, Michael N. Vrahatis. 1448-1455 [doi]
- Scalable distributed discovery of resource paths in telecommunication networks using cooperative ant-like agentsOtto J. Wittner, Poul E. Heegaard, Bjarne E. Helvik. 1456-1465 [doi]
- A genetic algorithm to sequence DNA using sequencing by hybridisation experimental dataJ. D. Spalding, Cara MacNish. 1466-1471 [doi]
- A modified genetic algorithm for optimal electrical distribution network reconfigurationBhoomesh Radha, Robert T. F. Ah King, Harry C. S. Rughooputh. 1472-1479 [doi]
- Support vector clustering for multiclass classification problemsBing-Yu Sun, De-Shuang Huang. 1480-1485 [doi]
- Mining interesting patterns from hardware-software codesign data with the learning classifier system XCSFabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. 1486-1492 [doi]
- Parameter identification of an airship model using evolution strategiesBruno G. Faria, N. L. de Castro. 1493-1499 [doi]
- A new hybrid structure genetic programming in symbolic regressionShengwu Xiong, Weiwu Wang. 1500-1506 [doi]
- A grouping-based evolutionary algorithm for constrained optimization problemMing Yuchi, Jong-Hwan Kim 0001. 1507-1512 [doi]
- Guiding genetic operators with immunology principle: a case study in TSPYang Hui, Lishan Kang, Zhenyu Yan 0001, Xioufen Zou. 1513-1519 [doi]
- A framework for optimization using approximate functionsKok Sung Won, Tapabrata Ray, Tai Kang. 1520-1527 [doi]
- GA-based generic method for protein structure comparisonSung-Joon Park, Masayuki Yamamura. 1528-1535 [doi]
- A new simple and highly efficient multi-objective optimal evolutionary algorithmChuan Shi, Yan Li, Lishan Kang. 1536-1542 [doi]
- Multi-objective genetic algorithms for courses of action planningLamia Belfares, Adel Guitouni. 1543-1551 [doi]
- Data mining rules using multi-objective evolutionary algorithmsBeatriz de la Iglesia, M. S. Philpott, Anthony J. Bagnall, Victor J. Rayward-Smith. 1552-1559 [doi]
- Constrained optimization based on a multiobjective evolutionary algorithmA. Angantyr, J. Andersson, Jan-Olov Aidanpää. 1560-1567 [doi]
- Multi-criteria evaluation of interesting dependencies according to a data mining approachDominique Francisci, Martine Collard. 1568-1574 [doi]
- Morphometric grayscale texture analysis using foot patternsDan Ashlock 0001, Dean C. Adams, David Doty. 1575-1581 [doi]
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