Multi-Objective Optimization in Computational Intelligence : Theory and Practice
Overview
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.
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Details
- ISBN-13: 9781599044989
- ISBN-10: 1599044986
- Publisher: Information Science Reference
- Publish Date: May 2008
- Dimensions: 11.2 x 8.57 x 1.43 inches
- Shipping Weight: 3.74 pounds
- Page Count: 496
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