Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties-Reference-Cited by-同舟云学术

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Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties

Published:2019-05 Issue: Volume:46 Page:104-117
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Li Hui,Deb Kalyanmoy,Zhang Qingfu,Suganthan P.N.,Chen Lei

Funder

National Natural Science Foundation of China

ANR/RGC Joint Research

Research Grants Council of the Hong Kong Special Administrative Region

France National Research Agency

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference27 articles.

1. Multiobjective evolutionary algorithms: a survey of the state-of-the-art;Zhou;Swarm and Evolutionary Computation,2011

2. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

3. MOEA/D: a multiobjective evolutionary algorithm based on decomposition;Zhang;IEEE Trans. Evol. Comput.,2007

4. A fuzzy definition of optimality for many criteria optimization problems;Farina;IEEE Trans. Syst., Man, Cybern. A, Syst., Humans,2004

5. Evolutionary manyobjective optimization: a short review;Ishibuchi,2008

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