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Multi-objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source) - Hardcover
Synopsis
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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- PublisherInformation Science Reference
- Publication date2008
- ISBN 10 1599044986
- ISBN 13 9781599044989
- BindingHardcover
- LanguageEnglish
- Number of pages350
- EditorBui Lam Thu, Alam Sameer
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MULTI OBJECTIVE OPTIMIZATION IN COMPUTATIONAL INTELLIGENCE THEORY AND PRACTICE
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Multi-Objective Optimization in Computational Intelligence: Theory and Practice
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Multi-Objective Optimization in Computational Intelligence: Theory and Practice
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Multi-objective optimization (MO) is part of computational intelligence research. This work explores the theoretical, as well as performance of MOs on a range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. It also . Seller Inventory # 4230126
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Multi-Objective Optimization in Computational Intelligence: Theory and Practice
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ISBN 13: 9781599044989
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Multi-Objective Optimization in Computational Intelligence : Theory and Practice
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ISBN 10: 1599044986
ISBN 13: 9781599044989
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9781599044989
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