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Evolutionary Multi-Criterion Optimization: 7th International Conference, EMO 2013, Sheffield, UK, March 19-22, 2013. Proceedings: Lecture Notes in Computer Science, cartea 7811

Editat de Robin Purshouse, Peter Fleming, Carlos M. Fonseca, Salvatore Greco, Jane Shaw
en Limba Engleză Paperback – 20 feb 2013
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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Specificații

ISBN-13: 9783642371394
ISBN-10: 3642371396
Pagini: 860
Ilustrații: XVIII, 842 p. 387 illus.
Dimensiuni: 155 x 235 x 45 mm
Greutate: 1.18 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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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