Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization [electronic resource] : edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva. - 1st ed. 2023. - Cham Springer Nature Switzerland 2023 - XIX, 636 p. 214 illus., 187 illus. in color. online resource.

This book constitutes the refereed proceedings of the 12th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2022 held in Leiden, The Netherlands, during March 20-24, 2023. The 44 regular papers presented in this book were carefully reviewed and selected from 65 submissions. The papers are divided into the following topical sections: Algorithm Design and Engineering; Machine Learning and Multi-criterion Optimization; Benchmarking and Performance Assessment; Indicator Design and Complexity Analysis; Applications in Real World Domains; and Multi-Criteria Decision Making and Interactive Algorithms.

9783031272509


Algorithms.
Artificial intelligence.
Artificial Intelligence.
Computer Application in Social and Behavioral Sciences.
Computer Communication Networks.
Computer networks .
Computer science
Computers.
Computing Milieux.
Design and Analysis of Algorithms.
Mathematics of Computing.
Social sciences

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