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 Author: Price, Kenneth V.
Corporate Author: SpringerLink (Online service)
Other Authors: Storn, Rainer M., Lampinen, Jouni A.
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Series:Natural computing series.
Subjects:
Online Access:Full text (Wentworth users only).

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520 |a 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. 
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