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Evolutionary computing : AISB Workshop, Leeds, U.K., April 11-13, 1994 : selected papers

Author: Terence C Fogarty
Publisher: Berlin ; New York : Springer-Verlag, ©1994.
Series: Lecture notes in computer science, 865.
Edition/Format:   Print book : Document : Conference publication   Computer File : EnglishView all editions and formats
Database:WorldCat
Summary:
"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  Read more...
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Details

Genre/Form: Kongreß
Conference papers and proceedings
Leeds (1994)
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Terence C Fogarty
ISBN: 3540584838 9783540584834 0387584838 9780387584836
OCLC Number: 31132742
Description: xii, 332 pages : illustrations ; 24 cm.
Contents: Formal memetic algorithms.- A statistical mechanical formulation of the dynamics of genetic algorithms.- Evolutionary stability in simple classifier systems.- Nonbinary transforms for genetic algorithm problems.- Enhancing evolutionary computation using analogues of biological mechanisms.- Exploiting mate choice in evolutionary computation: Sexual selection as a process of search, optimization, and diversification.- An empirical comparison of selection methods in evolutionary algorithms.- An evolution strategy and genetic algorithm hybrid: An initial implementation and first results.- Genetic algorithms and directed adaptation.- Genetic algorithms and neighbourhood search.- A unified paradigm for parallel Genetic Algorithms.- Distributed coevolutionary genetic algorithms for multi-criteria and multi-constraint optimisation.- Inductive operators and rule repair in a hybrid genetic learning system: Some initial results.- Adaptive learning of a robot arm.- Co-evolving Co-operative populations of rules in learning control systems.- Learning anticipatory behaviour using a delayed action classifier system.- Applying a restricted mating policy to determine state space niches using immediate and delayed reinforcement.- A comparison between two architectures for searching and learning in maze problems.- Fast practical evolutionary timetabling.- Optimising a presentation timetable using evolutionary algorithms.- Genetic algorithms and flowshop scheduling: towards the development of a real-time process control system.- Genetic algorithms for digital signal processing.- Complexity reduction using expansive coding.- The application of genetic programming to the investigation of short, noisy, chaotic data series.
Series Title: Lecture notes in computer science, 865.
Responsibility: Terence C. Fogarty, (ed.).
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Abstract:

Based on a workshop on the subject, held in Leeds in April 1994, this volume addresses several aspects, particularly genetic algorithms and their application. The papers are organized into sections  Read more...

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