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Evolutionary Multi-Criterion Optimization : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed.

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

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Format:
Book
Contributor:
Deb, Kalyanmoy, editor.
Goodman, Erik, editor.
Coello Coello, Carlos A., editor.
Klamroth, Kathrin, editor.
Miettinen, Kaisa, editor.
Mostaghim, Sanaz, editor.
Reed, Patrick, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 11411.
Theoretical Computer Science and General Issues ; 11411
Language:
English
Subjects (All):
Algorithms.
Artificial intelligence.
Computers.
Computer science--Mathematics.
Computer science.
Computer networks.
Data structures (Computer science).
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Models and Principles.
Mathematics of Computing.
Computer Communication Networks.
Data Structures.
Local Subjects:
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Models and Principles.
Mathematics of Computing.
Computer Communication Networks.
Data Structures.
Physical Description:
1 online resource (XX, 757 pages) : 374 illustrations, 228 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
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.
Other Format:
Printed edition:
ISBN:
978-3-030-12598-1
9783030125981
Access Restriction:
Restricted for use by site license.

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