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ORCIDICEC 1997: Indianapolis, IN, USA
- Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), Indianapolis, IN, USA, 13-16 April 1997. IEEE 1997, ISBN 0-7803-3949-5
- Markus Höhfeld, Günter Rudolph:
Towards a Theory of Population-Based Incremental Learning. 1-5 - Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller:
The gambler's ruin problem, genetic algorithms, and the sizing of populations. 7-12 - Cees H. M. van Kemenade:
The mixing evolutionary algorithm-independent selection and allocation of trials. 13-18 - Krasimir Kolarov:
Landscape ruggedness in evolutionary algorithms. 19-24 - Uday Kumar Chakraborty, Heinz Mühlenbein:
Linkage equilibrium and genetic algorithms. 25-29 - Chang-Yong Lee, Seung Kee Han:
Genetic-entropic algorithm in NK-model. 31-35 - S. Ronald, S. Kirkby, Peter W. Eklund:
Multi-chromosome mixed encodings for heterogeneous problems. 37-42 - Simon Ronald:
Robust encodings in genetic algorithms: a survey of encoding issues. 43-48 - Simon Ronald:
Distance functions for order-based encodings. 49-54 - Göktürk Üçoluk:
A method for chromosome handling of r-permutations of n-element set in genetic algorithms. 55-58 - Joanna Lis, A. E. Eiben:
A multi-sexual genetic algorithm for multiobjective optimization. 59-64 - Robert Hinterding, Zbigniew Michalewicz, A. E. Eiben:
Adaptation in evolutionary computation: a survey. 65-69 - R. G. Reynolds, ChanJin Chung:
Knowledge-based self-adaptation in evolutionary programming using cultural algorithms. 71-76 - Q. Henry Wu, Y. J. Cao:
Stochastic optimization of control parameters in genetic algorithms. 77-80 - A. E. Eiben, J. K. van der Hauw:
Solving 3-SAT by GAs adapting constraint weights. 81-86 - Robert Hinterding:
Self-adaptation using multi-chromosomes. 87-91 - A. Neubauer:
A theoretical analysis of the non-uniform mutation operator for the modified genetic algorithm. 93-96 - Isaac K. Evans:
Enhancing recombination with the Complementary Surrogate Genetic Algorithm. 97-102 - Susana C. Esquivel, AK. V. Price. Leiva, Raúl Héctor Gallard:
Multiple Crossover Per Couple in genetic algorithms. 103-106 - Guangming Lin, Xin Yao:
Analysing crossover operators by search step size. 107-110 - T. Nomura:
An analysis on linear crossover for real number chromosomes in an infinite population size. 111-114 - Massimo Celino, Paolo Palazzari, Nicoletta Pucello, M. Rosati, Vittorio Rosato:
New parallel hybrid genetic algorithm based on molecular dynamics approach for energy minimization of atomistic systems. 115-119 - Fernando G. Lobo, David E. Goldberg:
Decision making in a hybrid genetic algorithm. 121-125 - Susana C. Esquivel, Mario Guillermo Leguizamón, Raúl Héctor Gallard:
A hybrid strategy for load balancing in distributed systems environments. 127-132 - Maria E. Markaki, Athanasios V. Vasilakos
, Ioannis E. Kassotakis:
A hybrid genetic algorithm for the provision of isochronous service in high speed networks. 133-137 - D. Corne:
Stepping stones and hidden haystacks: when a genetic algorithm defeats a hillclimber. 139-142 - H. Tanaka:
A comparative study of GA and orthogonal experimental design. 143-146 - Lae-Jeong Park, Dongkyung Nam, Cheol Hoon Park, Sang-Hoon Oh:
An empirical comparison of simulated annealing and genetic algorithms on NK fitness landscapes. 147-151 - Kenneth V. Price:
Differential evolution vs. the functions of the 2nd ICEO. 153-157 - Peter Merz, Bernd Freisleben:
Genetic local search for the TSP: new results. 159-164 - Van-Dat Cung, Thierry Mautor, Philippe Michelon, A. Tavares:
A scatter search based approach for the quadratic assignment problem. 165-169 - Martina Gorges-Schleuter:
Asparagos96 and the traveling salesman problem. 171-174 - John Yen, Bogju Lee:
A simplex genetic algorithm hybrid. 175-180 - Moshe Sipper, Maxime Goeke, Daniel Mange, André Stauffer, Eduardo Sanchez, Marco Tomassini:
The firefly machine: online evolware. 181-186 - Tetsuya Higuchi, Masahiro Murakawa, Masaya Iwata, Isamu Kajitani, Weixin Liu, Mehrdad Salami:
Evolvable hardware at function level. 187-192 - Hitoshi Hemmi, Tomofumi Hikage, Katsunori Shimohara:
AdAM: a hardware evolutionary system. 193-196 - Henrik Hautop Lund, John Hallam, Wei-Po Lee:
Evolving robot morphology. 197-202 - T. Head:
Splicing systems and molecular processes. 203-205 - R. C. Murphy, Russell J. Deaton, Donald R. Franceschetti, S. E. Stevens, Max H. Garzon:
A new algorithm for DNA based computation. 207-212 - Satoshi Kobayashi, Takashi Yokomori, G. Sampei, K. Mizobuchi:
DNA implementation of simple Horn clause computation. 213-217 - Takashi Yokomori, Satoshi Kobayashi, Claudio Ferretti:
On the power of circular splicing systems and DNA computability. 219-224 - Gheorghe Stefan, Mihaela Malita:
The splicing mechanism and the Connex memory. 225-229 - S. M. Kim:
Identifying genetically spliced languages. 231-235 - Rudolf Freund, Franziska Freund:
Test tube systems with controlled applications of rules. 237-242 - Masanori Arita, Masami Hagiya, Akira Suyama:
Joining and rotating data with molecules. 243-248 - Valeria Mihalache:
Prolog approach to DNA computing. 249-254 - Gabriele Manganaro, José Pineda de Gyvez:
DNA computing based on chaos. 255-260 - Natasa Jonoska, Stephen A. Karl:
Ligation experiments in computing with DNA. 261-266 - Russell J. Deaton, R. C. Murphy, John A. Rose, Max H. Garzon, Donald R. Franceschetti, S. E. Stevens:
A DNA based implementation of an evolutionary search for good encodings for DNA computation. 267-271 - Gheorghe Paun, Grzegorz Rozenberg, Arto Salomaa:
Computing by splicing: programmed and evolving splicing systems. 273-277 - K. Nakano, K. Konishi, R. Ishiyama, S. Ikeda:
A self-organizing system with cell-specialization. 279-284 - Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa:
The effects of combination of DNA coding method with Pseudo-Bacterial GA. 285-290 - Naoyuki Kubota, T. Fukuda, T. Arakawa, Koji Shimojima:
Evolutionary transition on Virus-Evolutionary Genetic Algorithm. 291-296 - H. Iba, T. Nozoe, K. Ueda:
Evolving communicating agents based on genetic programming. 297-302 - J. Kennedy:
The particle swarm: social adaptation of knowledge. 303-308 - Thomas Stützle, Holger H. Hoos:
MAX-MIN Ant System and local search for the traveling salesman problem. 309-314 - Paul Devine, Ray C. Paton:
Herby: an evolutionary artificial ecology. 315-318 - Michèle Sebag, Marc Schoenauer:
A society of hill-climbers. 319-324 - K. Downing:
The emergence of insect protandry: a "natural" evolutionary computation application. 325-330 - J. Bobbin, Xin Yao:
Solving optimal control problems with a cost changing control by evolutionary algorithms. 331-336 - María Cristina Riff Rojas:
Evolutionary search guided by the constraint network to solve CSP. 337-342 - R. Kowalczyk:
Constraint consistent genetic algorithms. 343-348 - Y. Fujimoto, S. Tsutsui:
A peak shape identification genetic algorithm with a radial basis function. 349-354 - Frank Vavak, Ken Jukes, Terence C. Fogarty:
Learning the local search range for genetic optimisation in nonstationary environments. 355-360 - Walter Cedeño, V. Rao Vemuri:
On the use of niching for dynamic landscapes. 361-366 - W. B. Shine, Christoph F. Eick:
Visualizing the evolution of genetic algorithm search processes. 367-372 - Ian C. Parmee:
Evolutionary and adaptive strategies for engineering design-an overall framework. 373-378 - Gürsel A. Süer:
Evolutionary programming for designing manufacturing cells. 379-384 - K. Chen, Ian C. Parmee, C. R. Gane:
Dual mutation strategies for mixed-integer optimisation in power station design. 385-390 - Harish D. Vekeria, Ian C. Parmee:
Reducing computational expense associated with evolutionary detailed design. 391-396 - Se Hyun Park, Jong Kook Lee, Hang Joon Kim:
Evolutionary segmentation of road traffic scenes. 397-400 - Mitsuo Gen, Runwei Cheng, Dingwei Wang:
Genetic algorithms for solving shortest path problems. 401-406 - B. A. Norman, A. E. Smhh:
Random Keys Genetic Algorithm With Adaptive Penalty Function For Optimization Of Constrained Facility Layout Problems. 407-411 - M. Gen, K. Ida, J. Kim:
Fuzzy goal programming using genetic algorithm. 413-418 - G. Zhou, M. Gen:
Evolutionary computation on multicriteria production process planning problem. 419-424 - B. A. Norman, J. C. Bean:
Multiple spindle CNC machines. 425-429 - A. S. Fukunaga:
Application of an incremental evolution technique to spacecraft design optimization. 431-435 - A. Neubauer:
Genetic design of analog IIR filters with variable time delays for optically controlled microwave signal processors. 437-442 - Y. J. Cao, Q. H. Wu:
Evolutionary programming. 443-446 - John R. Koza, Forrest H. Bennett III, J. Lohn, Frank Dunlap, Martin A. Keane, David Andre:
Automated synthesis of computational circuits using genetic programming. 447-452 - J. E. Smith, M. Bartley, Terence C. Fogarty:
Microprocessor design verification by two-phase evolution of variable length tests. 453-458 - Bernd Freisleben, A. Schrader:
An evolutionary approach to color image quantization. 459-464 - Y. Fujiwara, H. Sawai:
Evolutionary computation applied to 3D image reconstruction. 465-469 - M. Yoshimura, S. Oe:
Considering optimum number of segmentation areas. 471-476 - Tommaso F. Bersano-Begey, Jason M. Daida, John F. Vesecky, Frank L. Ludwig:
A Java collaborative interface for genetic programming applications: image analysis for scientific inquiry. 477-482 - Krzysztof Trojanowski, Zbigniew Michalewicz, Jing Xiao:
Adding memory to the Evolutionary Planner/Navigator. 483-487 - Jung-Min Yang, Jong-Hwan Kim:
Generation of optimal fault tolerant locomotion of the hexapod robot over rough terrain using evolutionary programming. 489-494 - Henrik Hautop Lund, John Hallam:
Evolving sufficient robot controllers. 495-499 - Wei-Po Lee, John Hallam, Henrik Hautop Lund:
Applying genetic programming to evolve behavior primitives and arbitrators for mobile robots. 501-506 - Gerry V. Dozier, Albert C. Esterline, Abdollah Homaifar, Marwan Bikdash:
Hybrid evolutionary motion planning via visibility-based repair. 507-511 - Günther R. Raidl, Ingeborg Tastl:
Finding a perceptual uniform color space with evolution strategies. 513-517 - M. A. Ahmed, K. A. DeJong:
Function approximator design using genetic algorithms. 519-524 - Yiaowei Zheng, Bryant A. Julstrom, Weidong Cheng:
Design of vector quantization codebooks using a genetic algorithm. 525-529 - Feng-Sheng Wang, Ji-Pyng Chiou:
Differential evolution for dynamic optimization of differential-algebraic systems. 531-536 - Pier Luca Lanzi:
Fast feature selection with genetic algorithms: a filter approach. 537-540 - Kaihuai Qin, Wenping Wang, Minglun Gong:
A genetic algorithm for the minimum weight triangulation. 541-546 - Ilham Benyahia, Jean-Yves Potvin:
Genetic programming for vehicle dispatching. 547-552 - K. Tagawa, T. Fukui, H. Haneda:
Phenotypic genetic algorithm for partitioning problem. 553-556 - Nicole Göckel, Rolf Drechsler, B. Becker:
A multi-layer detailed routing approach based on evolutionary algorithms. 557-562 - D. L. Pepyne, Douglas P. Looze, D. A. Logan, Nils R. Sandell, R. LeBlanc:
A decision aid for theater missile defense. 563-568 - Charles E. Kaiser, Gary B. Lamont, Laurence D. Merkle, George H. Gates Jr., Ruth Pachter:
Exogenous parameter selection in a real-valued genetic algorithm. 569-574 - Nicole Göckel, Rolf Drechsler:
Influencing parameters of evolutionary algorithms for sequencing problems. 575-580 - Ju-Hyun Lee, Yanghee Choi, Byoung-Tak Zhang, Chongsang Kim:
Using a genetic algorithm for communication link partitioning. 581-584 - Henning Heider, Thorsten Drabe:
Fuzzy system design with a cascaded genetic algorithm. 585-588 - Norberto Eiji Nawa, Tomonori Hashiyama, Takeshi Furuhashi, Yoshiki Uchikawa:
A study on fuzzy rules discovery using Pseudo-Bacterial Genetic Algorithm with adaptive operator. 589-593 - Mohamed A. Abido, Youssef Lotfy Abdel-Magid:
Tuning of a fuzzy logic power system stabilizer using genetic algorithms. 595-599 - Thorsten Drabe, Wolfgang Bressgott:
A genetic algorithm for task distribution. 601-604 - Yong Liu, Xin Yao:
Evolving modular neural networks which generalise well. 605-610 - L. Bull:
Model-based evolutionary computing: a neural network and genetic algorithm architecture. 611-616 - K. W. C. Ku, M. W. Mak:
Exploring the effects of Lamarckian and Baldwinian learning in evolving recurrent neural networks. 617-621 - Takeshi Furuhashi, Seiichi Matsushita, Hiroaki Tsutsui:
Evolutionary fuzzy modeling using fuzzy neural networks and genetic algorithm. 623-627 - Xin Yao:
The importance of maintaining behavioural link between parents and offspring. 629-633 - Mario Köppen, M. Teunis, Bertram Nickolay:
A neural network that uses evolutionary learning. 635-639 - Qiangfu Zhao:
EditEr: a combination of IEA and CEA. 641-645 - Sung-Bae Cho:
Combining modular neural networks developed by evolutionary algorithm. 647-650 - T. Kumagai, M. Wada, S. Mikami, R. Hashimoto:
Structured learning in recurrent neural network using genetic algorithm with internal copy operator. 651-656 - P. Dutta:
An evolutionary heuristic for knowledge base partitioning problem. 657-662 - Helmut A. Mayer, Roland Schwaiger:
Towards the evolution of training data sets for artificial neural networks. 663-666 - Min Woong Hwang, Jin Young Choi, Jaehong Park:
Evolutionary projection neural networks. 667-671 - H. Ishibuchi, T. Nakashima:
Evolution of fuzzy nearest neighbor neural networks. 673-678 - A. Imada, K. Araki:
Application of an evolution strategy to the Hopfield model of associative memory. 679-683 - Andrés Pérez-Uribe, E. Sanchez:
Speeding-up adaptive heuristic critic learning with FPGA-based unsupervised clustering. 685-689 - Wei Lin, R. N. Bernard, G. M. Janes, K. W. Farrell:
Automated television scheduling via evolving agents. 691-696 - Yen Cheung, Sue Bedingfield, Stephen Huxford:
Monitoring and interpreting evolved behaviours in an oligopoly. 697-701 - Shu-Heng Chen, Chih-Chi Ni:
Coevolutionary instability in games: an analysis based on genetic algorithms. 703-708 - Hisashi Handa, Norio Baba, Osamu Katai, Tetsuo Sawaragi, Tadashi Horiuchi:
Genetic algorithm involving coevolution mechanism to search for effective genetic information. 709-714 - K. J. Chisholm, P. V. G. Bradbeer:
Machine learning using a genetic algorithm to optimise a draughts program board evaluation function. 715-720
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