Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings

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.

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.

Product details

• Assisted by: Carlos A Coello Coello et al (Editor), Carlos Coello Coello (Editor), Carlos A. Coello Coello (Editor), Kalyanmoy Deb (Editor), Eri Goodman (Editor), Erik Goodman (Editor), Kathrin Klamroth (Editor), Kaisa Miettinen (Editor), Sanaz Mostaghim (Editor), Patrick Reed (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030125974
• ISBN: 978-3-0-3012597-4
• No. of pages: 757
• Dimensions: 154 mm x 236 mm x 42 mm
• Weight: 1174 g
• Illustrations: XX, 757 p. 374 illus., 228 illus. in color.
• Series: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Künstliche Intelligenz, Data Science, Algorithms, Datenbanken, Artificial Intelligence, Netzwerk-Hardware, Theoretische Informatik, Mathematik für Informatiker, computer science, Computer Communication Networks, Mathematics of Computing, Computers, Algorithms & data structures, Mathematical theory of computation, Computer science—Mathematics, Maths for computer scientists, Algorithm Analysis and Problem Complexity, Data structures (Computer science), Data Structures, Computer communication systems, Network hardware, Models and Principles, Models of Computation, telecommunication traffic