6. ICGA 1995:
Pittsburgh, PA, USA
Larry J. Eshelman (Ed.):
Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995.
Morgan Kaufmann 1995, ISBN 1-55860-370-0 
Selection
Mutation and Recombination
- Jaroslaw Arabas, Jan J. Mulawka, Jacek Pokrasniewicz:
A New Class of the Crossover Operators for the Numerical Optimization.
42-48
- Thang Nguyen Bui, Byung Ro Moon:
On Multi-Dimensional Encoding/Crossover.
49-56
- Nikolaus Hansen, Andreas Ostermeier, Andreas Gawelczyk:
On the Adaptation of Arbitrary Normal Mutation Distributions in Evolution Strategies: The Generating Set Adaptation.
57-64
- Robert Hinterding, Harry Gielewski, Thomas C. Peachey:
The Nature of Mutation in Genetic Algorithms.
65-72
- Terry Jones:
Crossover, Macromutationand, and Population-Based Search.
73-80
- Bryant A. Julstrom:
What Have You Done for Me Lately? Adapting Operator Probabilities in a Steady-State Genetic Algorithm.
81-87
- Jim Levenick:
Metabits: Generic Endogenous Crossover Control.
88-95
- Andrew B. Kahng, Byung Ro Moon:
Toward More Powerful Recombinations.
96-103
- Hans-Michael Voigt, Heinz Mühlenbein, Dragan Cvetkovic:
Fuzzy Recombination for the Breeder Genetic Algorithm.
104-113
Evolutionary Computation Techniques
Formal Analysis of Evolutionary Computation and Problem Difficulty
- Terry Jones, Stephanie Forrest:
Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms.
184-192
- Hillol Kargupta:
Signal-to-noise, Crosstalk, and Long Range Problem Difficulty in Genetic Algorithms.
193-200
- Joost N. Kok, Patrik Floréen:
Tracing the Behavior of Genetic Algorithms Using Expected Values of Bit and Walsh Products.
201-208
- Anil Menon, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
Optimization Using Replicators.
209-216
- Colin R. Reeves, Christine C. Wright:
Epistasis in Genetic Algorithms: An Experimental Design Perspective.
217-224
- Stefan Voget:
Epistasis in Periodic Programs.
225-230
- L. Darrell Whitley, Keith E. Mathias, Larry D. Pyeatt:
Hyperplane Ranking in Simple Genetic Algorithms.
231-238
- L. Darrell Whitley, Keith E. Mathias, Soraya B. Rana, John Dzubera:
Building Better Test Functions.
239-247
Genetic Programming
- David Andre:
The Evolution of Agents that Build Mental Models and Create Simple Plans Using Genetic Programming.
248-255
- Justinian P. Rosca, Dana H. Ballard:
Causality in Genetic Programming.
256-263
- Bertrand Daniel Dunay, Frederick E. Petry:
Solving Complex Problems with Genetic Algorithms.
264-270
- Thomas Haynes, Roger L. Wainwright, Sandip Sen, Dale A. Schoenefeld:
Strongly Typed Genetic Programming in Evolving Cooperation Strategies.
271-278
- Hitoshi Iba, Taisuke Sato, Hugo de Garis:
Temporal Data Processing Using Genetic Programming.
279-286
- John R. Koza:
Two Ways of Discovering the Size and Shape of a Computer Program to Solve a Problem.
287-294
- William B. Langdon:
Evolving Data Structures with Genetic Programming.
295-302
- Nicholas Freitag McPhee, Justin Darwin Miller:
Accurate Replication in Genetic Programming.
303-309
- Peter Nordin, Wolfgang Banzhaf:
Complexity Compression and Evolution.
310-317
- Peter Nordin, Wolfgang Banzhaf:
Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code.
318-327
Co-Evolution and Emergent Organization
- Jason M. Daida, Steven J. Ross, Brian C. Hannan:
Biological Symbiosis as a Metaphor for Computational Hybridization.
328-335
- Rajarshi Das, James P. Crutchfield, Melanie Mitchell, James E. Hanson:
Evolving Globally Synchronized Cellular Automata.
336-343
- Ron R. Hightower, Stephanie Forrest, Alan S. Perelson:
The Evolution of Emergent Organization in Immune System Gene Libraries.
344-350
- Hugues Juillé:
Evolution of Non-Deterministic Incremental Algorithms as a New Approach for Search in State Spaces.
351-358
- Jan Paredis:
The Symbiotic Evolution of Solutions and Their Representations.
359-365
- Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette:
A Coevolutionary Approach to Learning Sequential Decision Rules.
366-372
- Christopher D. Rosin, Richard K. Belew:
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating.
373-381
Evolutionary Computation in Combination with Machine Learnung or Neural Nets
- Larry Bull, Terence C. Fogarty, M. Snaith:
Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot.
382-388
- Brian Carse, Terence C. Fogarty, Alistair Munro:
Adaptive Distributed Routing Using Evolutionary Fuzzy Control.
389-396
- Philippe Collard, Cathy Escazut:
Relational Schemata: A Way to Improve the Expressiveness of Classifiers.
397-404
- Lawrence Davis, David Orvosh:
The Mating Pool: A Testbed for Experiments in the Evolution of Symbol Systems.
405-412
- Akira Imada, Keijiro Araki:
Genetic Algorithm Enlarges the Capacity of Associative Memory.
413-420
- Cezary Z. Janikow:
A Genetic Algorithm for Optimizing Fuzzy Decision Trees.
421-428
- Leslie Knight, Sandip Sen:
PLEASE: A Prototype Learning System Using Genetic Algorithms.
429-435
- Filippo Neri, Attilio Giordana:
A Parallel Genetic Algorithm for Concept Learning.
436-443
- Steve G. Romaniuk:
Evolutionary Grown Semi-Weighted Neural Networks.
444-451
- John W. Sheppard, Steven Salzberg:
Combining Genetic Algorithms with Memory Based Reasoning.
452-459
- L. Darrell Whitley, Frédéric Gruau, Larry D. Pyeatt:
Cellular Encoding Applied to Neurocontrol.
460-469
Evolutionary Computation Applications I
- Faris N. Abuali, Roger L. Wainwright, Dale A. Schoenefeld:
Determinant Factorization: A New Encoding Scheme for Spanning Trees Applied to the Probabilistic Minimum Spanning Tree Problem.
470-477
- Thang Nguyen Bui, Paul H. Eppley:
A Hybrid Genetic Algorithm for the Maximum Clique Problem.
478-484
- Henrik Esbensen:
Finding (Near-)Optimal Steiner Trees in Large Graphs.
485-491
- Emanuel Falkenauer:
Solving Equal Piles with the Grouping Genetic Algorithm.
492-497
- Kazuhiro Kado, Peter Ross, David Corne:
A Study of Genetic Algorithm Hybrids for Facility Layout Problems.
498-505
- Shigenobu Kobayashi, Isao Ono, Masayuki Yamamura:
An Efficient Genetic Algorithm for Job Shop Scheduling Problems.
506-511
- Kihong Park:
A Comparative Study of Genetic Search.
512-519
- Markus Schwehm, Alexander Ost:
Inference of Stochastic Regular Grammars by Massively Parallel Genetic Algorithms.
520-527
- Stephen W. Soliday, Abdollah Homaifar, Gary L. Lebby:
Genetic Algorithm Approach to the Search for Golomb Rulers.
528-535
- Sam R. Thangiah:
An Adaptive Clustering Method Using a Geometric Shape for Vehicle Routing Problems with Time Windows.
536-545
Evolutionary Computation Applications II
- Kelly D. Crawford, Roger L. Wainwright:
Applying Genetic Algorithms to Outlier Detection.
546-550
- Aristides T. Hatjimihail, Theophanes T. Hatjimihail:
Design of Statistical Quality Control Procedures Using Genetic Algorithms.
551-557
- Rodolphe Le Riche, Catherine Knopf-Lenoir, Raphael T. Haftka:
A Segregated Genetic Algorithm for Constrained Structural Optimization.
558-565
- Wee Keong Ng, Chinya V. Ravishankar:
A Preliminary Study of Genetic Data Compression.
566-573
- Arnold L. Patton, William F. Punch III, Erik D. Goodman:
A Standard GA Approach to Native Protein Conformation Prediction.
574-581
- Chrisila C. Pettey, Thomas D. Wagner, Lawrence W. Dowdy:
Using GAs to Characterize Workloads.
582-588
- David Rogers:
Development of the Genetic Function Approximation Algorithm.
589-596
- Timothy J. Stanley, Trevor N. Mudge:
A Parallel Genetic Algorithm for Multiobjective Microprocessor Design.
597-604
- Edmund K. Burke, Dave Elliman, Rupert F. Weare:
A Hybrid Genetic Algorithm for Highly Constrained Timetabling Problems.
605-610
- Cees H. M. van Kemenade, C. F. W. Hendriks, Henk Hesselink, Joost N. Kok:
Evolutionary Computation in Air Traffic Control Planning.
611-616
- Terence C. Fogarty, Frank Vavak, Phillip Cheng:
Use of the Genetic Algorithm for Load Balancing of Sugar Beet Presses.
617-624
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