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{ "item_title" : "Multi-Objective Optimization in Computational Intelligence", "item_author" : [" Lam Thu Bui", "Sameer Alam "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/59/904/498/1599044986_b.jpg", "price_data" : { "retail_price" : "180.00", "online_price" : "180.00", "our_price" : "180.00", "club_price" : "180.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Objective Optimization in Computational Intelligence|Lam Thu Bui

Multi-Objective Optimization in Computational Intelligence : Theory and Practice

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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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