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
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Thomas Bäck :
Generalized Convergence Models for Tournament- and (mu, lambda)-Selection.
2-8
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Georges R. Harik :
Finding Multimodal Solutions Using Restricted Tournament Selection.
24-31
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Mutation and Recombination
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Terry Jones :
Crossover, Macromutationand, and Population-Based Search.
73-80
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Bryant A. Julstrom :
What Have You Done for Me Lately? Adapting Operator Probabilities in a Steady-State Genetic Algorithm.
81-87
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Jim Levenick :
Metabits: Generic Endogenous Crossover Control.
88-95
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Evolutionary Computation Techniques
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James Bowen ,
Gerry V. Dozier :
Solving Constraint Satisfaction Problems Using a Genetic/Systematic Search Hybrid That Realizes When to Quit.
122-129
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Samir W. Mahfoud :
A Comparison of Parallel and Sequential Niching Methods.
136-143
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Formal Analysis of Evolutionary Computation and Problem Difficulty
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Hillol Kargupta :
Signal-to-noise, Crosstalk, and Long Range Problem Difficulty in Genetic Algorithms.
193-200
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Genetic Programming
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David Andre :
The Evolution of Agents that Build Mental Models and Create Simple Plans Using Genetic Programming.
248-255
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John R. Koza :
Two Ways of Discovering the Size and Shape of a Computer Program to Solve a Problem.
287-294
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Co-Evolution and Emergent Organization
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Hugues Juillé :
Evolution of Non-Deterministic Incremental Algorithms as a New Approach for Search in State Spaces.
351-358
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Jan Paredis :
The Symbiotic Evolution of Solutions and Their Representations.
359-365
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Evolutionary Computation in Combination with Machine Learnung or Neural Nets
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Evolutionary Computation Applications I
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Henrik Esbensen :
Finding (Near-)Optimal Steiner Trees in Large Graphs.
485-491
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Kihong Park :
A Comparative Study of Genetic Search.
512-519
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Sam R. Thangiah :
An Adaptive Clustering Method Using a Geometric Shape for Vehicle Routing Problems with Time Windows.
536-545
Evolutionary Computation Applications II
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David Rogers :
Development of the Genetic Function Approximation Algorithm.
589-596
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