A modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization-Reference-Cited by-同舟云学术

A modified competitive swarm optimizer guided by space sampling for large-scale multi-objective optimization

Published:2024-04 Issue: Volume:86 Page:101499
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Gao Xiaoxin,He Fazhi^ORCID,Wang Feng,Wang Xiaoting

Funder

Wuhan University

Publisher

Elsevier BV

Reference54 articles.

1. A particle swarm optimization algorithm for mixed-variable optimization problems;Wang;Swarm Evol. Comput.,2021

2. A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results;Kumar;Swarm Evol. Comput.,2021

3. Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization;Chen;Swarm Evol. Comput.,2021

4. A multi-stage knowledge-guided evolutionary algorithm for large-scale sparse multi-objective optimization problems;Ding;Swarm Evol. Comput.,2022

5. An exhaustive review of the metaheuristic algorithms for search and optimization: Taxonomy, applications, and open challenges;Rajwar;Artif. Intell. Rev.,2023

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