Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Genetic Algorithms And Fuzzy Multiobjective OptimizationISBN13:9781461355946ISBN10:146135594XAuthor:Sakawa, Masatoshi (Author)Description:Since The Introduction Of Genetic Algorithms In The 1970S, An Enormous Number Of Articles Together With Several Significant Monographs And Books Have Been Published On This Methodology As A Result, Genetic Algorithms Have Made A Major Contribution To Optimization, Adaptation, And Learning In A Wide Variety Of Unexpected Fields Over The Years, Many Excellent Books In Genetic Algorithm Optimization Have Been Published; However, They Focus Mainly On Single-Objective Discrete Or Other Hard Optimization Problems Under Certainty There Appears To Be No Book That Is Designed To Present Genetic Algorithms For Solving Not Only Single-Objective But Also Fuzzy And Multiobjective Optimization Problems In A Unified Way Genetic Algorithms And Fuzzy Multiobjective Optimization Introduces The Latest Advances In The Field Of Genetic Algorithm Optimization For 0-1 Programming, Integer Programming, Nonconvex Programming, And Job-Shop Scheduling Problems Under Multiobjectiveness And Fuzziness In Addition, The Book Treats A Wide Range Of Actual Real World Applications The Theoretical Material And Applications Place Special Stress On Interactive Decision-Making Aspects Of Fuzzy Multiobjective Optimization For Human-Centered Systems In Most Realistic Situations When Dealing With Fuzziness The Intended Readers Of This Book Are Senior Undergraduate Students, Graduate Students, Researchers, And Practitioners In The Fields Of Operations Research, Computer Science, Industrial Engineering, Management Science, Systems Engineering, And Other Engineering Disciplines That Deal With The Subjects Of Multiobjective Programming For Discrete Or Other Hard Optimization Problems Under Fuzziness Real World Research Applications Are Used Throughout The Book To Illustrate The Presentation These Applications Are Drawn From Complex Problems Examples Include Flexible Scheduling In A Machine Center, Operation Planning Of District Heating And Cooling Plants, And Coal Purchase Planning In An Actual Electric Power Plant Binding:Paperback, PaperbackPublisher:SPRINGER NATUREPublication Date:2012-11-01Weight:0.94 lbsDimensions:0.64'' H x 9.21'' L x 6.14'' WNumber of Pages:288Language:English
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Book Title: Genetic Algorithms And Fuzzy Multiobjective Optimization
Item Length: 9.3in
Item Width: 6.1in
Author: Masatoshi Sakawa
Publication Name: Genetic Algorithms and Fuzzy Multiobjective Optimization
Format: Trade Paperback
Language: English
Publisher: Springer
Series: Operations Research/Computer Science Interfaces Ser.
Publication Year: 2012
Type: Textbook
Item Weight: 16.5 Oz
Number of Pages: X, 288 Pages