Evolutionary Multi-Criterion Optimization edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XIX, 636 p. 214 illus., 187 illus. in color. online resourceISBN:- 9783031272509
- 5.13
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB3011 |
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.
There are no comments on this title.