A modified particle swarm optimization for multimodal multi-objective optimization-Reference-Cited by-同舟云学术

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A modified particle swarm optimization for multimodal multi-objective optimization

Published:2020-10 Issue: Volume:95 Page:103905
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang XuWei,Liu Hao,Tu LiangPing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province, China

Foundation of Liaoning Province Education Administration, China

Graduate Science and Technology Innovation Program of USTL, China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference47 articles.

1. PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems;Abbass,2001

2. A decomposition-based evolutionary algorithm for many objective optimization;Asafuddoula;IEEE Trans. Evol. Comput.,2014

3. Hype: An algorithm for fast hypervolume-based many-objective optimization;Bader;Evol. Comput.,2011

4. SMS-EMOA: Multiobjective selection based on dominated hypervolume;Beume;European J. Oper. Res.,2007

5. The balance between proximity and diversity in multiobjective evolutionary algorithms;Bosman;IEEE Trans. Evol. Comput.,2003

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