Items related to Evolutionary Optimization Algorithms
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
A clear and lucid bottom–up approach to the basic principles of evolutionary algorithms
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies.
This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography–based optimization, and many others.
Evolutionary Optimization Algorithms:
- 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
- Gives a careful treatment of recently developed EAs including opposition–based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well–established EAs
- Includes chapter–end problems plus a solutions manual available online for instructors
- Offers simple examples that provide the reader with an intuitive understanding of the theory
- Features source code for the examples available on the author′s website
- Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling
Evolutionary Optimization Algorithms: Biologically Inspired and Population–Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
About the Author
DAN SIMON is a Professor at Cleveland State University in the Department of Electrical and Computer Engineering. His teaching and research interests include control theory, computer intelligence, embedded systems, technical writing, and related subjects. He is the author of the book Optimal State Estimation (Wiley).
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2013
- ISBN 10 0470937416
- ISBN 13 9780470937419
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages784
Buy New
View this item
£ 98.83
£ 7.63 shipping from United Kingdom to U.S.A.
Destination, rates & speedsSearch results for Evolutionary Optimization Algorithms
Stock Image
Evolutionary Optimization Algorithms: Biologocally -Inspired and Population-Based Approaches to Compu ter Intelligence
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9780470937419
Quantity: 15 available
Stock Image
Evolutionary Optimization Algorithms
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580222200
Quantity: Over 20 available
Seller Image
Evolutionary Optimization Algorithms : Biologically-Inspired and Population-Based Approaches to Computer Intelligence
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 10112965-n
Quantity: Over 20 available
Seller Image
Evolutionary Optimization Algorithms : Biologically-Inspired and Population-Based Approaches to Computer Intelligence
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 10112965
Quantity: Over 20 available
Seller Image
Evolutionary Optimization Algorithms : Biologically-Inspired and Population-Based Approaches to Computer Intelligence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 10112965-n
Quantity: Over 20 available
Seller Image
Evolutionary Optimization Algorithms : Biologically-Inspired and Population-Based Approaches to Computer Intelligence
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 10112965
Quantity: Over 20 available
Stock Image
Evolutionary Optimization Algorithms (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2013
ISBN 10: 0470937416
ISBN 13: 9780470937419
New
Hardcover
First Edition
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clearbut theoretically rigorousunderstanding of evolutionary algorithms, with an emphasis on implementationGives a careful treatment of recently developed EAsincluding opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAsIncludes chapter-end problems plus a solutions manual available online for instructorsOffers simple examples that provide the reader with an intuitive understanding of the theoryFeatures source code for the examples available on the author's websiteProvides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470937419
Quantity: 1 available
Stock Image
Evolutionary Optimization Algorithms
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 1210. Seller Inventory # B9780470937419
Quantity: Over 20 available
Stock Image
Evolutionary Optimization Algorithms
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pp. 772. Seller Inventory # 58058543
Quantity: 3 available
Stock Image
Evolutionary Optimization Algorithms
Seller: Russell Books, Victoria, BC, Canada
Seller rating 5 out of 5 stars
Hardcover. Condition: New. 1st Edition. Special order direct from the distributor. Seller Inventory # ING9780470937419
Quantity: Over 20 available