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Evolutionary Multi-Criterion Optimization: Lecture Notes in Computer Science, cartea 11411

Editat de Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed
en Limba Engleză Paperback – 4 feb 2019
This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019.

The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
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Specificații

ISBN-13: 9783030125974
ISBN-10: 3030125971
Pagini: 780
Ilustrații: XX, 757 p. 374 illus., 228 illus. in color.
Dimensiuni: 155 x 235 x 42 mm
Greutate: 1.16 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland