"synopsis" may belong to another edition of this title.
"...discusses two multi–objective optimization procedures, namely the ideal procedure and the preference–based one." (Zentralblatt MATH, Vol. 970, 2001/20)
Excerpt from Preface: "...provides an extensive discussion on the principles of multi–objective optimization and on a number of classical approaches." (Mathematical Reviews, 2002)
"...As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time." (Siam Review, Vol.44, No.3, 2002)
"...a readable account of a topic of current interest in operational research." (Mathematika, No.48, 2001)
??an outstandingly well–organized and clearly written account of the subject? (The Mathematical Gazette, July 2003)
Excerpt from Preface: "...provides an extensive discussion on the principles of multi–objective optimization and on a number of classical approaches." (Mathematical Reviews, 2002)
"...As a survey, this book is exemplary and forms an essential resource for EMO researchers at the present time." (Siam Review, Vol.44, No.3, 2002)
"...a readable account of a topic of current interest in operational research." (Mathematika, No.48, 2001)
??an outstandingly well–organized and clearly written account of the subject? (The Mathematical Gazette, July 2003)
"About this title" may belong to another edition of this title.
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Book Description paperback. Condition: New. Language: ENG. Seller Inventory # 9780470743614
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Book Description Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Seller Inventory # B9780470743614
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Book Description Condition: New. Comprehensive coverage of this growing area of research. Carefully introduces each algorithm with examples and in-depth discussion. Includes many applications to real-world problems, including engineering design and scheduling. Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms. Num Pages: 544 pages, black & white illustrations, black & white tables, maps, figures. BIC Classification: PBW. Category: (P) Professional & Vocational. Dimension: 242 x 170 x 29. Weight in Grams: 868. . 2009. 1st Edition. Paperback. . . . . Seller Inventory # V9780470743614