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[ACM Press the 2014 conference - Vancouver, BC, Canada (2014.07.12-2014.07.16)] Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14 - An improved NSGA-III procedure for evolutionary many-objective optimization

โœ Scribed by Yuan, Yuan; Xu, Hua; Wang, Bo

Book ID
126082168
Publisher
ACM Press
Year
2014
Weight
553 KB
Category
Article
ISBN
1450326625

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[ACM Press the 2014 conference - Vancouv
[ACM Press the 2014 conference - Vancouver, BC, Canada (2014.07.12-2014.07.16)] Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14 - Runtime analysis for maximizing population diversity in single-objective optimization
โœ Gao, Wanru; Neumann, Frank ๐Ÿ“‚ Article ๐Ÿ“… 2014 ๐Ÿ› ACM Press โš– 564 KB

Recently Ulrich and Thiele [14] have introduced evolutionary algorithms for the mixed multi-objective problem of maximizing fitness as well as diversity in the decision space. Such an approach allows to generate a diverse set of solutions which are all of good quality. With this paper, we contribute