Evolutionary Multi-Criterion Optimization
Subtitle: Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings (Lecture Notes in Computer Science)
Contributors: Carlos A. Coello Coello (Editor); Arturo Hernández Aguirre (Editor); Eckart Zitzler (Editor)
Edition: 1 edition
Publisher: Springer
Published: April 6, 2005
Language: eng
Format: Paperback
Number of pages: 912
ISBN-13: 9783540249832
Subjects: Computing and Information Technology; Computers - General Information; Computer Books: General; Computers; Artificial Intelligence - General; Computer Science; Computers / Computer Science; adaptive search; approximation; constraint solving; evolutionary algorithms; evolutionary multi-criterion optimization; genetic algorithms; heuristics; metaheuristics; Congresses; Congráes; Dâecision multicritáere; Mathematical optimization; Multiple criteria decision making
First sentence: Evolutionary algorithms have been quite effective in dealing with single-objective "optimization" while the area of Evolutionary Multiobjective Optimization (EMOO) has extended its efficiency to Multiple Criteria Decision Making (MCDM) [10] as well.