Multi-Objective Optimization in Theory and Practice I: Classical Methods PDF
By:Andre A. Keller
Published on 2017-12-13 by Bentham Science Publishers
Multi-Objective Optimization in Theory and Practice is a traditional two-part approach to solving multi-objective optimization (MOO) problems namely the use of classical methods and evolutionary algorithms. This first book is devoted to classical methods including the extended simplex method by Zeleny and preference-based techniques. This part covers three main topics through nine chapters. The first topic focuses on the design of such MOO problems, their complexities including nonlinearities and uncertainties, and optimality theory. The second topic introduces the founding solving methods including the extended simplex method to linear MOO problems and weighting objective methods. The third topic deals with particular structures of MOO problems, such as mixed-integer programming, hierarchical programming, fuzzy logic programming, and bimatrix games. Multi-Objective Optimization in Theory and Practice is a user-friendly book with detailed, illustrated calculations, examples, test functions, and small-size applications in Mathematica® (among other mathematical packages) and from scholarly literature. It is an essential handbook for students and teachers involved in advanced optimization courses in engineering, information science, and mathematics degree programs.
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Book ID of Multi-Objective Optimization in Theory and Practice I: Classical Methods's Books is RMhFDwAAQBAJ, Book which was written byAndre A. Kellerhave ETAG "LaRYcBBIt/o"
Book which was published by Bentham Science Publishers since 2017-12-13 have ISBNs, ISBN 13 Code is 9781681085685 and ISBN 10 Code is 1681085682
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