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Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
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Hardcover. Condition: new. Hardcover. Evolutionary algorithms are bio-inspired algorithms based on Darwins theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning. Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
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Published by ISTE Ltd and John Wiley & Sons Inc, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
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Add to basketCondition: New. Evolutionary Algorithms are metaheuristics that use the metaphor of the Darwinian or Lamarckian evolution theories to find efficient solutions for hard optimization problems or machine learning. This book will present thoroughly a state-of-the-art of leading evolutionary algorithms with comparisons between them on test problems. Num Pages: 200 pages. BIC Classification: UMB. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .
Language: English
Published by Iste/Hermes Science Pub, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
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Add to basketHardcover. Condition: Brand New. 236 pages. 9.50x6.25x0.75 inches. In Stock.
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Evolutionary Algorithms are metaheuristics that use the metaphor of the Darwinian or Lamarckian evolution theories to find efficient solutions for hard optimization problems or machine learning. This book will present thoroughly a state-of-the-art of leading evolutionary algorithms with comparisons between them on test problems. Num Pages: 200 pages. BIC Classification: UMB. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, London, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. Evolutionary algorithms are bio-inspired algorithms based on Darwins theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning. Evolutionary algorithms are bio-inspired algorithms based on Darwin s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Buch. Condition: Neu. Neuware - Evolutionary algorithms are bio-inspired algorithms based on Darwin's theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 364206194X ISBN 13: 9783642061943
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a family of advanced methods of optimization, called MetaheuristicsIncludes simulated annealing, tabu search, evolutionary and genetic algorithms, ant coloniesContains case studies from engineering and operations researchInc.
Language: English
Published by Springer Berlin Heidelberg, 2005
ISBN 10: 354023022X ISBN 13: 9783540230229
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a family of advanced methods of optimization, called MetaheuristicsIncludes simulated annealing, tabu search, evolutionary and genetic algorithms, ant coloniesContains case studies from engineering and operations researchInc.
Language: English
Published by Iste/Hermes Science Pub, 2017
ISBN 10: 1848218044 ISBN 13: 9781848218048
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 236 pages. 9.50x6.25x0.75 inches. In Stock. This item is printed on demand.