| Description |
1 online resource : v.: digital |
| Series |
Lecture Notes in Computer Science, 0302-9743 ; 1143 |
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Lecture notes in computer science ; 1143. 0302-9743
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| Contents |
Fast evolutionary learning of minimal radial basis function neural networks using a genetic algorithm / Brian Carse and Terence C. Fogarty -- Evolutionary design of synthetic routes in chemistry / Hugh M. Cartwright and Julie A. Hopkins -- A genetic algorithm for job-shop problems with various schedule quality criteria / Hsiao-Lan Fang, David Corne and Peter Ross -- Two applications of genetic algorithms to component design / Phil Husbands [and others] -- Characterizing signal behaviour using genetic programming / Per Jonsson and Jonas Barklund -- Spatial reasoning with genetic algorithms : an application in planning of safe liquid petroleum gas sites / Ken Lunn and Caroline Johnson -- Restricted evaluation genetic algorithms with TABU search for optimising Boolean functions as multi-level AND-EXOR networks / Julian F. Miller and Peter Thompson -- Generation of structured process models using genetic programming / Harmut Pohlheim and Peter Marenbach -- Genetic programming for feature detection and image segmentation / Riccardo Poli -- A temporal view of selection and populations / Sam Sandqvist -- Evolving software test data : GA's learn self expression / Jim Smith and T.C. Fogarty --Efficient evolution strategies for exploration in mobile robotics / J.C.W. Sullivan and A.G. Pipe -- Learning the "next" dimension / G. Bilchev and I.C. Parmee -- Global selection methods for massively parallel computers / Jürgen Branke, Hans Christian Andersen and Hartmut Schmeck -- Investigating multipoidy's niche / David Corne, Emma Collingwood and Peter Ross -- Evolutionary divide and conquer for the set-covering problem / Luis F. González Hernández and David W. Corne -- The simulation of localised interaction and learning in artificial adaptive agents / Robert Hoffmann and Nigel Waring -- The Royal Road functions : description, intent and experimentation / R.J. Quick, V.J. Rayward-Smith and G.D. Smith -- Adaptive restricted tournament selection for the identification of multiple sub-optima in a multi-modal function / R. Roy and I.C. Parmee -- Analysis of possible genome-dependence of mutation rates in genetic algorithms / Bernhard Sendhoff and Martin Kreutz -- Inoculation to initialise evolutionary search / Patrick D. Surry and Nicholas J. Radcliffe -- Co-evolution of operator settings in genetic algorithms / Andrew Tuson and Peter Ross -- A comparative study of steady state and generational genetic algorithms for use in nonstationary environments / F. Vavak and T.C. Fogarty |
| Summary |
This book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996. The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Evolutionary programming (Computer science) -- Congresses
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Computer science.
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Computer software.
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Artificial intelligence.
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Biology -- Data processing.
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Electronic Data Processing
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Software
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Artificial Intelligence
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software.
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artificial intelligence.
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Artificial intelligence
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Biology -- Data processing
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Computer science
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Computer software
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Evolutionary programming (Computer science)
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Algoritmen.
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Ordinateurs -- Programmation -- Congrès.
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| Genre/Form |
Conference papers and proceedings
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| Form |
Electronic book
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| Author |
Fogarty, Terence C.
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| ISBN |
9783540706717 |
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3540706712 |
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3540617493 |
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9783540617495 |
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