Differential Evolution A Practical Approach to Global Optimization /

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 e...

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Bibliographic Details
Main Authors: Price, Kenneth V. (Author), Storn, Rainer M. (Author), Lampinen, Jouni A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Series:Natural Computing Series,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XIX, 539 p. online resource.
ISBN:9783540313069
ISSN:1619-7127