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Evolutionary computation :: theory and applications /

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected...

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Weitere Verfasser:	Yao, Xin, 1962-
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Singapore ; New Jersey : World Scientific, ©1999.
Schlagworte:	Evolutionary computation. Evolutionary programming (Computer science) Genetic algorithms. Réseaux neuronaux à structure évolutive. Programmation évolutive. Algorithmes génétiques. COMPUTERS > Enterprise Applications > Business Intelligence Tools. COMPUTERS > Intelligence (AI) & Semantics. Evolutionary computation Genetic algorithms Programmation évolutionnaire.
Online-Zugang:	Volltext
Zusammenfassung:	Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting.
Beschreibung:	1 online resource (xiv, 360 pages) : illustrations
Bibliographie:	Includes bibliographical references (pages 356-357) and index.
ISBN:	9789812817471 9812817476

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contents	1. Introduction / X. Yao -- 2. Evolutionary computation in behavior engineering / M. Colombetti and M. Dorigo -- 3. A general method for incremental self-improvement andmulti-agent learning / J. Schmidhuber -- 4. Teacher: a genetics-based system for learning and for generalizing heuristics / B.W. Wah and A. Leumwananonthachai -- 5. Automatic discovery of protein motifs using genetic programming / J.R. Koza and D. Andre -- 6. The role of self organization in evolutionary computations / A.C. Tsoi and J. Shaw -- 7. Virus-evolutionary genetic algorithm and its application to traveling salesman problem / T. Fukuda, N. Kubota, and K. Shimojima -- 8. Hybrid evolutionary optimization algorithm for constrained problems / J.-H. Kim and H. Myung -- 9. CAM-BRAIN -- the evolutionary engineering of a billion neuron artificial brain / H. de Garis -- 10. An evolutionary approach to the N-player iterated prisoner's dilemma game / X. Yao and P. Darwen.
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spelling	Evolutionary computation : theory and applications / editor, Xin Yao. Singapore ; New Jersey : World Scientific, ©1999. 1 online resource (xiv, 360 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 356-357) and index. Print version record. 1. Introduction / X. Yao -- 2. Evolutionary computation in behavior engineering / M. Colombetti and M. Dorigo -- 3. A general method for incremental self-improvement andmulti-agent learning / J. Schmidhuber -- 4. Teacher: a genetics-based system for learning and for generalizing heuristics / B.W. Wah and A. Leumwananonthachai -- 5. Automatic discovery of protein motifs using genetic programming / J.R. Koza and D. Andre -- 6. The role of self organization in evolutionary computations / A.C. Tsoi and J. Shaw -- 7. Virus-evolutionary genetic algorithm and its application to traveling salesman problem / T. Fukuda, N. Kubota, and K. Shimojima -- 8. Hybrid evolutionary optimization algorithm for constrained problems / J.-H. Kim and H. Myung -- 9. CAM-BRAIN -- the evolutionary engineering of a billion neuron artificial brain / H. de Garis -- 10. An evolutionary approach to the N-player iterated prisoner's dilemma game / X. Yao and P. Darwen. Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting. Evolutionary computation. http://id.loc.gov/authorities/subjects/sh95003989 Evolutionary programming (Computer science) http://id.loc.gov/authorities/subjects/sh95003941 Genetic algorithms. http://id.loc.gov/authorities/subjects/sh92002377 Réseaux neuronaux à structure évolutive. Programmation évolutive. Algorithmes génétiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Evolutionary computation fast Evolutionary programming (Computer science) fast Genetic algorithms fast Programmation évolutionnaire. ram Algorithmes génétiques. ram Yao, Xin, 1962- https://id.oclc.org/worldcat/entity/E39PCjBvTjp4VKRRdcBXFw3gfC http://id.loc.gov/authorities/names/n95071002 has work: Evolutionary computation (Text) https://id.oclc.org/worldcat/entity/E39PCGjPhvmx6dVY6bWhWVy7jK https://id.oclc.org/worldcat/ontology/hasWork Print version: Evolutionary computation. Singapore ; New Jersey : World Scientific, ©1999 9810223064 (OCoLC)43396241 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=533850 Volltext
spellingShingle	Evolutionary computation : theory and applications / 1. Introduction / X. Yao -- 2. Evolutionary computation in behavior engineering / M. Colombetti and M. Dorigo -- 3. A general method for incremental self-improvement andmulti-agent learning / J. Schmidhuber -- 4. Teacher: a genetics-based system for learning and for generalizing heuristics / B.W. Wah and A. Leumwananonthachai -- 5. Automatic discovery of protein motifs using genetic programming / J.R. Koza and D. Andre -- 6. The role of self organization in evolutionary computations / A.C. Tsoi and J. Shaw -- 7. Virus-evolutionary genetic algorithm and its application to traveling salesman problem / T. Fukuda, N. Kubota, and K. Shimojima -- 8. Hybrid evolutionary optimization algorithm for constrained problems / J.-H. Kim and H. Myung -- 9. CAM-BRAIN -- the evolutionary engineering of a billion neuron artificial brain / H. de Garis -- 10. An evolutionary approach to the N-player iterated prisoner's dilemma game / X. Yao and P. Darwen. Evolutionary computation. http://id.loc.gov/authorities/subjects/sh95003989 Evolutionary programming (Computer science) http://id.loc.gov/authorities/subjects/sh95003941 Genetic algorithms. http://id.loc.gov/authorities/subjects/sh92002377 Réseaux neuronaux à structure évolutive. Programmation évolutive. Algorithmes génétiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Evolutionary computation fast Evolutionary programming (Computer science) fast Genetic algorithms fast Programmation évolutionnaire. ram Algorithmes génétiques. ram
subject_GND	http://id.loc.gov/authorities/subjects/sh95003989 http://id.loc.gov/authorities/subjects/sh95003941 http://id.loc.gov/authorities/subjects/sh92002377
title	Evolutionary computation : theory and applications /
title_auth	Evolutionary computation : theory and applications /
title_exact_search	Evolutionary computation : theory and applications /
title_full	Evolutionary computation : theory and applications / editor, Xin Yao.
title_fullStr	Evolutionary computation : theory and applications / editor, Xin Yao.
title_full_unstemmed	Evolutionary computation : theory and applications / editor, Xin Yao.
title_short	Evolutionary computation :
title_sort	evolutionary computation theory and applications
title_sub	theory and applications /
topic	Evolutionary computation. http://id.loc.gov/authorities/subjects/sh95003989 Evolutionary programming (Computer science) http://id.loc.gov/authorities/subjects/sh95003941 Genetic algorithms. http://id.loc.gov/authorities/subjects/sh92002377 Réseaux neuronaux à structure évolutive. Programmation évolutive. Algorithmes génétiques. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Evolutionary computation fast Evolutionary programming (Computer science) fast Genetic algorithms fast Programmation évolutionnaire. ram Algorithmes génétiques. ram
topic_facet	Evolutionary computation. Evolutionary programming (Computer science) Genetic algorithms. Réseaux neuronaux à structure évolutive. Programmation évolutive. Algorithmes génétiques. COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Evolutionary computation Genetic algorithms Programmation évolutionnaire.
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