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Volume 1 - Volume 2

• 
  Hisashi Tamaki, Hajime Kita, Nobuhiko Shimizu, Keiji Maekawa, Yoshikazu Nishikawa:
  A Comparison Study of Genetic Codings for the Traveling Salesman Problem. 1-6
• 
  Thang Nguyen Bui, Byung Ro Moon:
  A New Genetic Approach for the Traveling Salesman Problem. 7-12
• 
  Robert Hinterding:
  Mapping, Order-Independent Genes and the Knapsack Problem. 13-17
• 
  Parthasarathy Guturu, Ammanamanchi Srinivasa Murthy, V. U. K. Sastry:
  Clique Finding - A Genetic Approach. 18-21
• 
  Harpal Maini, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
  Knowledge Based Nonuniform Crossover. 22-27

• 
  Frank Klawonn, Jens Kinzel, Rudolf Kruse:
  Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers. 28-33
• 
  James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid:
  Genetic Algorithm Guided Clustering. 34-39
• 
  Thomas Bäck, Ulrich Hammel:
  Evolution Strategies Applied to Perturbed Objective Functions. 40-45
• 
  Frederick E. Petry, Bill P. Buckles, Dev Prabhu, Roy George, Radhakrishnan Srikanth:
  Fuzzy Clustering With Genetic Search. 46-50
• 
  Andrea Bonarini:
  Evolutionary Learning of General Fuzzy Rules with Biased Evaluation Functions: Competition and Cooperation. 51-56

• 
  Thomas Bäck:
  Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms. 57-62
• 
  Günter Rudolph:
  Convergence of Non-Elitist Strategies. 63-66
• 
  Samir W. Mahfoud:
  Genetic Drift in Sharing Methods. 67-72

• 
  Jaroslaw Arabas, Zbigniew Michalewicz, Jan J. Mulawka:
  GAVaPS - A Genetic Algorithm with Varying Population Size. 73-78
• 
  Helge Rosé, Werner Ebeling, Johannes Schuchhardt:
  Evolutionary Strategies for Solving Frustrated Problems. 79-81
• 
  Jeffrey Horn, Nicholas Nafpliotis, David E. Goldberg:
  A Niched Pareto Genetic Algorithm for Multiobjective Optimization. 82-87
• 
  Hans-Michael Voigt, Thomas Anheyer:
  Modal Mutations in Evolutionary Algorithms. 88-92

• 
  Matteo Sonza Reorda, Maurizio Rebaudengo:
  A Genetic Algorithm for Floorplan Area Optimization. 93-96
• 
  B. B. Prahlada Rao, Lalit M. Patnaik, R. C. Hansdah:
  A Genetic Algorithm for Channel Routing using Inter-Cluster Mutation. 97-103
• 
  Mike Davis, Luoping Liu, John G. Elias:
  VLSI Circuit Synthesis Using a Parallel Genetic Algorithm. 104-109
• 
  Paolo Gentili, Francesco Piazza, Aurelio Uncini:
  Evolutionary Design of Fir Digital Filters with Power-of-Two Coefficients. 110-114

• 
  Attilio Giordana, Lorenza Saitta, Floriano Zini:
  Learning Disjunctive Concepts with Distributed Genetic Algorithms. 115-119
• 
  Arthur L. Corcoran, Sandip Sen:
  Using Real-Valued Genetic Algorithms to Evolve Rule Sets for Classification. 120-124
• 
  Douglas B. Lynch, David C. Kuncicky:
  A Knowledge-Based Genetic Heuristic for Learning Certainty Factors. 125-129
• 
  Simon M. Lucas:
  Structuring Chromosomes for Context-Free Grammar Evolution. 130-135

• 
  Astro Teller:
  Turing Completeness in the Language of Genetic Programming with Indexed Memory. 136-141
• 
  Kenneth E. Kinnear Jr.:
  Fitness Landscapes and Difficulty in Genetic Programming. 142-147
• 
  Timothy Perkis:
  Stack-Based Genetic Programming. 148-153
• 
  Simon Handley:
  On the Use of Directed Acyclic Graph to Represent a Population of Computer Programs. 154-159
• 
  Walter Alden Tackett, Aviram Carami:
  The Unique Implications of Brood Selection for Genetic Programming. 160-165

• 
  Vassilios Petridis, Spiridon A. Kazarlis:
  Varying Quality Function in Genetic Algorithms and the Cutting Problem. 166-169
• 
  Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi:
  Extended Forking Genetic Algorithm for Order Representation (O-FGA). 170-175
• 
  B. Csukás, R. Lakner, K. Varga:
  Evolution of the Evaluated Conservation Structures. 176-181
• 
  Lee Altenberg:
  Evolving Better Representations Through Selective Genome Growth. 182-187
• 
  Samir W. Mahfoud:
  Crossover Interactions Among Niches. 188-193

• 
  Jean-Yves Potvin, Danny Dubé:
  Improving a Vehicle Routing Heuristic Through Genetic Search. 194-199
• 
  Andrew B. Conru:
  A Genetic Approach to the Cable Haress Routing Problem. 200-205
• 
  Thomas D. Logan:
  An Electronic Card Production Line Loading Program-An Evolutionary Algorithm Implementation. 206-210
• 
  Hoi-Shan Lin, Jing Xiao, Zbigniew Michalewicz:
  Evolutionary Algorithm for Path Planning in Mobile Robot Environment. 211-216
• 
  N. Saravanan, David B. Fogel:
  Evolving Neurocontrollers Using Evolutionary Programming. 217-222

• 
  Sadayoshi Mikami, Yukinori Kakazu:
  Genetic Reinforcement Learning for Cooperative Traffic Signal Control. 223-228
• 
  H. Füger, G. Stein, Uwe Stilla:
  Multi-Population Evolution Strategies for Structural Image Analysis. 229-234
• 
  Jeffrey D. Stumpf, Xin Feng, Richard W. Kelnhofer:
  An Enhanced Operator-Oriented Genetic Search Algorithm. 235-238
• 
  Chuen-Tsai Sun, Ying-Hong Liao, Jing-Liu Lu, Fu-May Zheng:
  Genetic Algorithm Learning in Game Playing with Multiple Coaches. 239-243

• 
  John R. Koza:
  Recognizing Patterns in Protein Sequences Using Iteration-Performing Calculations in Genetic Programming. 245-249
• 
  David Andre:
  Evolution of Mapmaking: Learning, Planning, and Memory Using Genetic Programming. 250-255
• 
  Patrik D'haeseleer:
  Context Preserving Crossover in Genetic Programming. 256-261
• 
  Craig W. Reynolds:
  The Difficulty of Roving Eyes. 262-267
• 
  Gerhard Weiß:
  Neural Networks and Evolutionary Computation. PartI: Hybrid Approaches in Artificial Intelligence. 268-272
• 
  Gerhard Weiß:
  Neural Networks and Evolutionary Computation. PartII: Hybrid Approaches in the Neurosciences. 273-277
• 
  Heinrich Braun, Peter Zagorski:
  Enzo-II-A Powerful Design Tool to Evolve Multilayer Feed Forward Networks. 278-283
• 
  Zoran Obradovic, Rangarajan Srikumar:
  Evolutionary Design of Application Tailored Neural Networks. 284-289
• 
  Mukesh J. Patel, Vittorio Maniezzo:
  NN'S and GA'S: Evolving Co-Operative Behaviour in Adaptive Learning Agents. 290-295

• 
  Mark F. Bramlette:
  Finding Maximum Flow with Random and Genetic Search. 296-299
• 
  Ben Paechter, Henri Luchian, Andrew Cumming, Mihai Petriuc:
  Two Solutions to the General Timetable Problem Using Evolutionary Methods. 300-305
• 
  Gerry V. Dozier, Dennis R. Bahler, James Bowen:
  Solbing Small and Large Scale Constraint Satisfaction Problems Using a Heuristic-Based Microgenetic Algorithm. 306-311
• 
  Hugues Bersini, Jean-Michel Renders:
  Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways. 312-317

• 
  Byoung-Tak Zhang, Heinz Mühlenbein:
  Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. 318-323
• 
  Samy Bengio, Yoshua Bengio, Jocelyn Cloutier:
  Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks. 324-327
• 
  Marc S. Atkin, Paul R. Cohen:
  Learning Monitoring Strategies: A Difficult Genetic Programming Application. 328-332
• 
  Ming-Yi Lay:
  Application of Genetic Programming in Analyzing Multiple Steady States of Dynamical Systems. 333-336
• 
  Hugo de Garis:
  The Genetic Programming of an Artificial Brain Which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine. 337-339

• 
  Arthur L. Corcoran, Dale A. Schoenefeld:
  A Genetic Algorithm for File and Task Placement in a Distributed System. 340-344
• 
  Garrison W. Greenwood, Ajay Gupta, Kelly McSweeney:
  Scheduling Tasks in Multiprocessor Systems Using Evolutionary Strategies. 345-349
• 
  Jorng-Tzong Horng, Baw-Jhiune Liu, Cheng-Yan Kao:
  A Genetic Algorithm for Database Query Optimization. 350-355
• 
  Keith E. Mathias, L. Darrell Whitley, Christof Stork, Tony Kusuma:
  Staged Hybrid Genetic Search for Seismic Data Imaging. 356-361
• 
  Hiroshi Iijima, Yusuke Naito:
  Incremental Prediction of Side-Chain Conformation of Proteins by a Genetic Algorithm. 362-367

• 
  Abraham Schultz:
  A Multiple Population Boltzmann Machine. 368-373
• 
  Gary M. Griner:
  A Comparison of Simulated Evolution and Genetic Evolution Performance. 374-378
• 
  Charles C. Palmer, Aaron Kershenbaum:
  Representing Trees in Genetic Algorithms. 379-384
• 
  John A. Gunnels, Paul Cull, James L. Holloway:
  Genetic Algorithms and Simulated Annealing for Gene Mapping. 385-390

• 
  Ulrich Wilhelm Thonemann:
  Finding Improved Simulated Annealing Schedules with Genetic Programming. 391-395
• 
  Frederick E. Petry, Bertrand Daniel Dunay, Bill P. Buckles:
  Regular Language Induction with Genetic Programming. 396-400
• 
  Hitoshi Iba, Taisuke Sato, Hugo de Garis:
  System Identification Approach to Genetic Programming. 401-406
• 
  Justinian P. Rosca, Dana H. Ballard:
  Learning by Adapting Representations in Genetic Programming. 407-412
• 
  Sidney R. Maxwell III:
  Experiments with a Coroutine Execution Model for Genetic Programming. 413-417

• 
  Masaharu Munetomo, Yoshiaki Takai, Yoshiharu Sato:
  A Genetic Approach to Dynamic Load Balancing in a Distributed Computing System. 419-421
• 
  Craig A. Farrell, Dorota H. Kieronska, Mike Schulze:
  Genetic Algorithms for Network Division Problem. 422-427
• 
  V. Scott Gordon:
  Locality in Genetic Algorithms. 428-432

• 
  Keith E. Mathias, L. Darrell Whitley:
  Initial Performance Comparisons for the Delta Coding Algorithm. 433-438
• 
  F. Greene:
  A Method for Utilizing Diploid/Dominance in Genetic Search. 439-444
• 
  Roberto Piola:
  Evolutionary Solutions to a Highly Constrained Combinatorial Problem. 445-449
• 
  Jin-Kao Hao, Raphaël Dorne:
  An Empirical Comparison of Two Evolutionary Methods for Satisfiability Problems. 451-455

• 
  John E. Perry:
  The Effect of Population Enrichment in Genetic Programming. 456-461
• 
  David Andre:
  Learning and Upgrading Rules for an OCR System Using Genetic Programming. 462-467
• 
  Frederick E. Petry, Bill P. Buckles, Thyagarajan Sadasivan, Donald H. Kraft:
  The Use of Genetic Programming to Build Queries for Information Retrieval. 468-473
• 
  Simon Handley:
  Automated Learning of a Detector for the Cores of (Alpha)-Helics in Protein Sequences via Genetic Programming. 474-479
• 
  Sumit Das, Terry Franguiadakis, Michael E. Papka, Thomas A. DeFanti, Daniel J. Sandin:
  A Genetic Programming Application in Virtual Reality. 480-484

• 
  Anthony G. Pipe, Terence C. Fogarty, Alan F. T. Winfield:
  Balancing Exploration with Exploitation - Solving Mazes With Real Numbered Search Spaces. 485-489
• 
  Bryn V. Williams, Richard T. J. Bostock, David Bounds, Alan J. Harget:
  Improving Classification Performance in the Bumptree Network by Optimising Topology with a Genetic Algorithm. 490-495
• 
  David E. Moriarty, Risto Miikkulainen:
  Improving Game-Tree Search with Evolutionary Neural Networks. 496-501
• 
  Christian Jacob:
  Typed Expressions Evolution of Artificial Nervous Systems. 502-507

• 
  Dirk Thierens, David E. Goldberg:
  Elitist Recombination: An Integrated Selection Recombination GA. 508-512
• 
  Keith E. Mathias, L. Darrell Whitley:
  Transforming the Search Space with Gray Coding. 513-518
• 
  Stefan Langerman, Gregory Seront, Hugues Bersini:
  S.T.E.P.: The Easiest Way to Optimize a Function. 519-524
• 
  Akiko N. Aizawa:
  Evolving SSE: A Stochastic Schemata Exploiter. 525-529

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 last updated on 2024-11-08 20:39 CET by the dblp team

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