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Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) - Softcover

 
9783642424168: Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)

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The Differential Evolution algorithm (DE) is a practical approach to global numerical optimization that is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores Differential Evolution (DE) in both principle and practice. It is a valuable resource for professionals needing a proven optimizer.

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"This book is about an evolutionary method, called differential evolution (DE) ... . the authors claim that ‘this book is designed to be easy to understand and simple to use’. Indeed, they have achieved their goal. The book is enjoyable to read, fully illustrated with figures and C-like pseudocodes ... . this book is foremost addressed to engineers ... . Moreover, those interested in evolutionary algorithms will certainly find this book to be both interesting and useful." (Panos M. Pardalos, Mathematical Reviews, Issue 2006 g)

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9783540209508: Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization. 560 pp. Englisch. Seller Inventory # 9783642424168

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Depth of coverage. In-depth analysis of DE by its original creators that is not available elsewhereExpanded problem domains. Hands-on advice on how to apply DE to unconstrained, constrained, continuous and discrete numerical optimization problems. Seller Inventory # 11800676

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization. Seller Inventory # 9783642424168

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Taschenbuch. Condition: Neu. Neuware -Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 560 pp. Englisch. Seller Inventory # 9783642424168

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Price, Kenneth (Author)/ Storn, Rainer M. (Author)/ Lampinen, Jouni A. (Author)
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