Evolutionary Multi-Criterion Optimization [electronic resource] : 7th International Conference, EMO 2013, Sheffield, UK, March 19-22, 2013. Proceedings / edited by Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw.
Contributor(s): Purshouse, Robin C [editor.] | Fleming, Peter J [editor.] | Fonseca, Carlos M [editor.] | Greco, Salvatore [editor.] | Shaw, Jane [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 7811Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVIII, 842 p. 387 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642371400.Subject(s): Computer science | Algorithms | Numerical analysis | Artificial intelligence | Application software | Computer Science | Numeric Computing | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Computer ApplicationsAdditional physical formats: Printed edition:: No titleDDC classification: 518 Online resources: Click here to access onlinePlenary talks -- New horizons -- Indicator-based methods -- Aspects of algorithm design -- Pareto-based methods -- Hybrid MCDA -- Decomposition-based methods -- Classical MCDA -- Exploratory problem analysis -- Product and process applications -- Aerospace and automotive applications -- Further real-world applications -- Under-explored challenges.
This book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2013 held in Sheffield, UK, in March 2013. The 57 revised full papers presented were carefully reviewed and selected from 98 submissions. The papers are grouped in topical sections on plenary talks; new horizons; indicator-based methods; aspects of algorithm design; pareto-based methods; hybrid MCDA; decomposition-based methods; classical MCDA; exploratory problem analysis; product and process applications; aerospace and automotive applications; further real-world applications; and under-explored challenges.
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