Advances in Evolutionary Algorithms
Theory, Design And Practice
Ahn, Chang Wook
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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; and 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.
Details:
- Publisher: Springer Verlag
- Series: Studies In Computational Intelligence
- Textual Format: Computer Applications
- Academic Level: Scholarly/Graduate
- Depth (m): 0.019
- Dewey: 006
- Height (m): 0.248
- Pages: 171
- Place Of Publication: Western Europe
- Published Date: Mon 15 May 2006
- Weight (g): 408
- Width (m): 0.171
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