Advances in Evolutionary Algorithms :  Theory, Design and Practice

Advances in Evolutionary Algorithms : Theory, Design and Practice

Author
Chang Wook Ahn
Publication Year
2006
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Engineering

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.


Keywords: Engineering / Evolutionary Algorithms / Algorithm / Algorithms / Evolution / Evolutionary algorithm / Evolutionary computation / Genetic algorithms / Memory / Optimization