ENGLISH

Advances in Evolutionary Algorithms: Theory, Design and Practice

Book information

Publisher
Springer
Year
2006
ISBN
9783540317586, 3-540-31758-9
Open Library ID
OL9056255M
Language
english
Format
PDF
Filesize
5 MB (4871111 bytes)
Series
Studies in Computational Intelligence
Edition
1
Pages
179\179
Library
mexmat
Time added
2009-07-20 03:45:11

Description

Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated: * Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines. * Demonstrating the practical use of the suggested road map. * Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications. * Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain. * Opening an important track for multiobjective GEA research that relies on decomposition principle. This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation.

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