Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE-Reference-Cited by-同舟云学术

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Review and analysis of three components of the differential evolution mutation operator in MOEA/D-DE

Published:2019-02-20 Issue:23 Volume:23 Page:12843-12857
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Tanabe Ryoji,Ishibuchi Hisao^ORCID

Funder

The Science and Technology Innovation Committee Foundation of Shenzhen

National Natural Science Foundation of China

the Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Shenzhen Peacock Plan

the Program for University Key Laboratory of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-019-03842-6/fulltext.html

Reference47 articles.

1. Arabas J, Szczepankiewicz A, Wroniak T (2010) Experimental comparison of methods to handle boundary constraints in differential evolution. In: PPSN, pp 411–420

2. Auger A, Brockhoff D, Hansen N, Tusar D, Tusar T, Wagner T (2016) The impact of variation operators on the performance of SMS-EMOA on the bi-objective BBOB-2016 test suite. In: GECCO, pp 1225–1232

3. Bader J, Zitzler E (2011) HypE: an algorithm for fast hypervolume-based many-objective optimization. Evol Comput 19(1):45–76

4. Beume N, Naujoks B, Emmerich MTM (2007) SMS-EMOA: multiobjective selection based on dominated hypervolume. EJOR 181(3):1653–1669

5. Bezerra LCT, López-Ibáñez M, Stützle T (2015) To DE or Not to DE? Multi-objective differential evolution revisited from a component-wise perspective. In: EMO, pp 48–63

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