[PDF.65qw] Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)

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

[PDF.zp86] Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)

Differential Evolution: A Practical  Kenneth Price, Rainer M. Storn, Jouni A. Lampinen epub
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Differential Evolution: A Practical  Kenneth Price, Rainer M. Storn, Jouni A. Lampinen book review
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 | #3326403 in Books |  Springer |  2005-12-22 | Original language:English | PDF # 1 |  9.21 x1.19 x6.14l,2.05 | File type: PDF | 539 pages

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||0 of 0 people found the following review helpful.| Very good source of information on DE|By Keiichi Ito|I found the book quite informative. Differential Evolution is a population based optimization algorithm that is quite simple to implement and surprisingly effective. The book shows in detail the classical as well as several variants of the algorithm. In the book, the algorithm is well benchmarked using well known test functi| ||From the reviews:||"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

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 b...

You can specify the type of files you want, for your device.Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)   |  Kenneth Price, Rainer M. Storn, Jouni A. Lampinen. I was recommended this book by a dear friend of mine.

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