On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems-Reference-Cited by-同舟云学术

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On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems

Published:2022-04 Issue: Volume:192 Page:116343
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Fritsche Gian^ORCID,Pozo Aurora^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference55 articles.

1. Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms;Bäck,1996

2. Hype: An algorithm for fast hypervolume-based many-objective optimization;Bader;Evolutionary Computation,2011

3. Multi-objective fish school search.;Bastos-Filho;International Journal of Swarm Intelligence Research,2015

4. Many-objective optimization using evolutionary algorithms: A survey;Bechikh,2017

5. On the properties of the R2 indicator;Brockhoff,2012

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