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Evolutionary optimization algorithms /
"This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, thi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester :
Wiley-Blackwell,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn859885568 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 130401s2013 enk ob 001 0 eng d | ||
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| 019 | |a 851316251 |a 979186436 | ||
| 020 | |a 1118659503 | ||
| 020 | |a 9781118659502 | ||
| 020 | |z 9780470937419 |q (hardback) | ||
| 020 | |z 0470937416 |q (hardback) | ||
| 029 | 1 | |a DEBBG |b BV044189290 | |
| 035 | |a (OCoLC)859885568 |z (OCoLC)851316251 |z (OCoLC)979186436 | ||
| 050 | 4 | |a QA76.9.A43 |b S536 2013 | |
| 082 | 0 | 4 | |a 006.3 |2 23 |
| 084 | |a MAT008000 |2 bisacsh | ||
| 049 | |a UAMI | ||
| 100 | 1 | |a Simon, Dan, |d 1960- |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJj8VqGX7k4hbBGMKcT8md | |
| 245 | 1 | 0 | |a Evolutionary optimization algorithms / |c Dan Simon. |
| 264 | 1 | |a Chichester : |b Wiley-Blackwell, |c 2013. | |
| 300 | |a 1 online resource (1 volume) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover; Title Page; Copyright Page; SHORT TABLE OF CONTENTS; DETAILED TABLE OF CONTENTS; Acknowledgments; Acronyms; List of Algorithms; PART I INTRODUCTION TO EVOLUTIONARY OPTIMIZATION; 1 Introduction; 1.1 Terminology; 1.2 Why Another Book on Evolutionary Algorithms?; 1.3 Prerequisites; 1.4 Homework Problems; 1.5 Notation; 1.6 Outline of the Book; 1.7 A Course Based on This Book; 2 Optimization; 2.1 Unconstrained Optimization; 2.2 Constrained Optimization; 2.3 Multi-Objective Optimization; 2.4 Multimodal Optimization; 2.5 Combinatorial Optimization; 2.6 Hill Climbing. | |
| 505 | 8 | |a 2.6.1 Biased Optimization Algorithms2.6.2 The Importance of Monte Carlo Simulations; 2.7 Intelligence; 2.7.1 Adaptation; 2.7.2 Randomness; 2.7.3 Communication; 2.7.4 Feedback; 2.7.5 Exploration and Exploitation; 2.8 Conclusion; Problems; PART II CLASSIC EVOLUTIONARY ALGORITHMS; 3 Genetic Algorithms; 3.1 The History of Genetics; 3.1.1 Charles Darwin; 3.1.2 Gregor Mendel; 3.2 The Science of Genetics; 3.3 The History of Genetic Algorithms; 3.4 A Simple Binary Genetic Algorithm; 3.4.1 A Genetic Algorithm for Robot Design; 3.4.2 Selection and Crossover; 3.4.3 Mutation; 3.4.4 GA Summary. | |
| 505 | 8 | |a 3.4.5 GA Tuning Parameters and Examples3.5 A Simple Continuous Genetic Algorithm; 3.6 Conclusion; Problems; 4 Mathematical Models of Genetic Algorithms; 4.1 Schema Theory; 4.2 Markov Chains; 4.3 Markov Model Notation for Evolutionary Algorithms; 4.4 Markov Models of Genetic Algorithms; 4.4.1 Selection; 4.4.2 Mutation; 4.4.3 Crossover; 4.5 Dynamic System Models of Genetic Algorithms; 4.5.1 Selection; 4.5.2 Mutation; 4.5.3 Crossover; 4.6 Conclusion; Problems; 5 Evolutionary Programming; 5.1 Continuous Evolutionary Programming; 5.2 Finite State Machine Optimization. | |
| 505 | 8 | |a 7.2.6 Genetic Programming Parameters7.3 Genetic Programming for Minimum Time Control; 7.4 Genetic Programming Bloat; 7.5 Evolving Entities other than Computer Programs; 7.6 Mathematical Analysis of Genetic Programming; 7.6.1 Definitions and Notation; 7.6.2 Selection and Crossover; 7.6.3 Mutation and Final Results; 7.7 Conclusion; Problems; 8 Evolutionary Algorithm Variations; 8.1 Initialization; 8.2 Convergence Criteria; 8.3 Problem Representation Using Gray Coding; 8.4 Elitism; 8.5 Steady-State and Generational Algorithms; 8.6 Population Diversity; 8.6.1 Duplicate Individuals. | |
| 520 | |a "This book is a clear and lucid presentation of Evolutionary Algorithms, with a straightforward, bottom-up approach that provides the reader with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization algorithms, this timely and practical book offers lengthy examples, a companion website, MATLAB code, and a Solutions Manual--making it perfect for advanced undergraduates, graduates, and practicing engineers involved in engineering and computer science"-- |c Provided by publisher. | ||
| 520 | |a "Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear (but theoretically rigorous) understanding of Evolutionary Algorithms, with an emphasis on implementation rather than models"-- |c Provided by publisher. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Evolutionary computation. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a Natural computation. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 6 | |a Réseaux neuronaux à structure évolutive. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Calcul naturel. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Discrete Mathematics. |2 bisacsh | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Natural computation |2 fast | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Evolutionary computation |2 fast | |
| 758 | |i has work: |a Evolutionary optimization algorithms (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG6yybdvpxv9YGvt97xjvd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | |c Hardback |z 9780470937419 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1216196 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1216196 | ||
| 938 | |a YBP Library Services |b YANK |n 10791345 | ||
| 994 | |a 92 |b IZTAP | ||