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Paperback. Condition: Like New. Like New. book.
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Advances In Differential Evolution (Studies In Computational Intelligence)
Published by Springer
ISBN 10: 8120090004 ISBN 13: 9788120090002
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Advances in Differential Evolution
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540688277 ISBN 13: 9783540688273
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher.
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Advances in Differential Evolution
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Computational Intelligence in Flow Shop and Job Shop Scheduling (Studies in Computational Intelligence, 230)
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Computational Intelligence in Flow Shop and Job Shop Scheduling (Studies in Computational Intelligence, 230)
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Advances in Differential Evolution (Studies in Computational Intelligence, 143)
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Advances in Differential Evolution
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088392 ISBN 13: 9783642088391
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of 'opposite' points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.
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Computational Intelligence in Flow Shop and Job Shop Scheduling
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642260365 ISBN 13: 9783642260360
Language: English
£ 143.42
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For over fifty years now, the famous problem of flow shop and job shop scheduling has been receiving the attention of researchers in operations research, engineering, and computer science. Over the past several years, there has been a spurt of interest in computational intelligence heuristics and metaheuristics for solving this problem. This book seeks to present a study of the state of the art in this field and also directions for future research.
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Advances in Differential Evolution
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540688277 ISBN 13: 9783540688273
Language: English
£ 143.42
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of 'opposite' points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.
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Computational Intelligence in Flow Shop and Job Shop Scheduling
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10: 3642028357 ISBN 13: 9783642028359
Language: English
£ 146.99
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For over fifty years now, the famous problem of flow shop and job shop scheduling has been receiving the attention of researchers in operations research, engineering, and computer science. Over the past several years, there has been a spurt of interest in computational intelligence heuristics and metaheuristics for solving this problem. This book seeks to present a study of the state of the art in this field and also directions for future research.
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Advances in Differential Evolution (Studies in Computational Intelligence, 143)
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Advances in Differential Evolution
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2008, 2008
ISBN 10: 3540688277 ISBN 13: 9783540688273
Language: English
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£ 143.42
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Add to basketBuch. Condition: Neu. Neuware -Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research.The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of 'opposite' points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Social Morphology, Human Welfare, and Sustainability
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