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About Multi-objective optimization in computational intelligence: theory and practice
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
Detailed Information
| Author: | Lam Thu Bui, Sameer Alam |
|---|---|
| Publication Year: | 2008 |
| ISBN: | 9781599045009 |
| Pages: | 496 |
| Language: | English |
| File Size: | 8.814 |
| Format: | |
| Price: | FREE |
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