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Home > Education > Mathematics > Multi-Objective Optimization in Computational Intelligence: Theory and Practice
Multi-Objective Optimization in Computational Intelligence: Theory and Practice
by Syed, Mahbubur Rahman
 
 
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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.


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Title of ebook: Multi-Objective Optimization in Computational Intelligence: Theory and Practice
ISBN: 9781599045009
parent-ISBN: 9781599044989
Publisher: Information Science Reference
Internet download file size: 20724 kb
Pages: 496
Published: 01-2008
Released online for download: 01-01-2008
Author of eBook: Syed, Mahbubur Rahman
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