Overview
- Depth of coverage. In-depth analysis of DE by its original creators that is not available elsewhere
- Expanded problem domains. Hands-on advice on how to apply DE to unconstrained, constrained, continuous and discrete numerical optimization problems
- New insights. The role of invariance principles in optimization and the similarities and differences between DE and other methods, like simulated annealing and evolution strategies
- New strategies. The latest extensions to the DE algorithm
- Applications. Real-world problems in signal processing, optical engineering, coding theory, robotics, etc., that have been solved by DE, many of which include comparisons to other optimization methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (18 chapters)
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Front Matter
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Global optimization
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Critical values for the control parameters of differential evolution algorithms
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Fast Evolution Strategies
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On the usage of differential evolution for function optimization
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Shape design and optimization by genetic algorithm
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Computer Code
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Applications
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Front Matter
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Keywords
About this book
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.
Reviews
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 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)
Authors and Affiliations
Bibliographic Information
Book Title: Differential Evolution
Book Subtitle: A Practical Approach to Global Optimization
Authors: Kenneth V. Price, Rainer M. Storn, Jouni A. Lampinen
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/3-540-31306-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-20950-8Published: 13 December 2005
Softcover ISBN: 978-3-642-42416-8Published: 26 November 2014
eBook ISBN: 978-3-540-31306-9Published: 04 March 2006
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XIX, 539
Topics: Optimization, Software Engineering/Programming and Operating Systems, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Numeric Computing, Artificial Intelligence