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Evolutionary Multi-Criterion Optimization : 7th International Conference, EMO 2013, Sheffield, UK, March 19-22, 2013. Proceedings / edited by Robin Purshouse, Peter Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Purshouse, Robin, editor.
Fleming, P. (Peter), 1972- editor.
Fonseca, Carlos M. da, 1968- editor.
Greco, Salvatore, editor.
Shaw, Jane, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7811.
Theoretical Computer Science and General Issues ; 7811
Language:
English
Subjects (All):
Numerical analysis.
Algorithms.
Artificial intelligence.
Application software.
Numeric Computing.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Computer Applications.
Local Subjects:
Numeric Computing.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Computer Applications.
Physical Description:
1 online resource (XVIII, 842 pages) : 387 illustrations.
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
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.
Contents:
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
Under-explored challenges.
Other Format:
Printed edition:
ISBN:
978-3-642-37140-0
9783642371400
Access Restriction:
Restricted for use by site license.

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