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
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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