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Evolutionary Computing : Aisb Workshop, Leeds, U.K., April 11 - 13, 1994. Selected Papers - Terence C. Fogarty

Evolutionary Computing

Aisb Workshop, Leeds, U.K., April 11 - 13, 1994. Selected Papers

By: Terence C. Fogarty (Editor)

Paperback Published: 28th September 1994
ISBN: 9783540584834
Number Of Pages: 340

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This volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever.
The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications.

Formal Memetic Algorithmsp. 1
A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithmsp. 17
Evolutionary Stability in Simple Classifier Systemsp. 28
Nonbinary Transforms for Genetic Algorithm Problemsp. 38
Enhancing Evolutionary Computation Using Analogues of Biological Mechanismsp. 51
Exploiting Mate Choice in Evolutionary Computation: Sexual Selection as a Process of Search, Optimisation And Diversificationp. 65
An Empirical Comparison of Selection Methods in Evolutionary Algorithmsp. 80
An Evolution Strategy and Genetic Algorithm Hybrid: An Initial Implementation and First Resultsp. 95
Genetic Algorithms and Directed Adaptationp. 103
Genetic Algorithms and Neighbourhood Searchp. 115
A Unified Paradigm for Parallel Genetic Algorithmsp. 131
Distributed Coevolutionary Genetic Algorithms for Multi-Criteria and Multi-Constraint Optimisationp. 150
Inductive Operators and Rule Repair in a Hybrid Genetic Learning System: Some Initial Resultsp. 166
Adaptive Learning of a Robot Armp. 180
Co-Evolving Co-Operative Populations of Rules in Learning Control Systemsp. 195
Learning Anticipatory Behaviour Using a Delayed Action Classifier Systemp. 210
Applying a Restricted Mating Policy to Determine State Space Niches Using Immediate and Delayed Reinforcementp. 224
A Comparison Between Two Architectures for Searching and Learning in Maze Problemsp. 238
Fast Practical Evolutionary Timetablingp. 250
Optimising a Presentation Timetable Using Evolutionary Algorithmsp. 264
Genetic Algorithms and Flowshop Scheduling: Towards the Development of a Real-time Process Control Systemp. 277
Genetic Algorithms for Digital Signal Processingp. 291
Complexity Reduction Using Expansive Codingp. 304
The Application of Genetic Programming to the Investigation of Short, Noisy, Chaotic Data Seriesp. 320
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540584834
ISBN-10: 3540584838
Series: Springer Series in Synergetics
Audience: General
Format: Paperback
Language: English
Number Of Pages: 340
Published: 28th September 1994
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6  x 1.85
Weight (kg): 0.49

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