An improved competitive particle swarm optimization for many-objective optimization problems-Reference-Cited by-同舟云学术

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An improved competitive particle swarm optimization for many-objective optimization problems

Published:2022-03 Issue: Volume:189 Page:116118
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Gu Qinghua,Liu Yingyin,Chen Lu,Xiong Naixue

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanxi Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Unconventional initialization methods for differential evolution;Ali;Applied Mathematics and Computation,2013

2. D2MOPSO: MOPSO based on decomposition and dominance with archiving using crowding distance in objective and solution spaces;Al Moubayed;Evolutionary Computation,2014

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

4. The balance between proximity and diversity in multiobjective evolutionary algorithms;Bosman;IEEE Transactions on Evolutionary Computation,2003

5. A competitive swarm optimizer for large scale optimization;Cheng;IEEE Transactions on Cybernetics,2014

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