A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives-Reference-Cited by-同舟云学术

A scalability study of the multi-guide particle swarm optimization algorithm to many-objectives

Published:2021-10 Issue: Volume:66 Page:100943
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Steenkamp Cian^ORCID,Engelbrecht Andries P.^ORCID

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference106 articles.

1. Performance optimization of electric power steering based on multi-objective genetic algorithm;Zhao;J. Cent. South Univ.,2013

2. Ant colony algorithm hybridized with tabu and greedy searches as applied to multi-objective optimization in project management;Chelouah;J. Heuristics,2007

3. Sequential approximate multi-objective optimization using radial basis function network;Kitayama;Struct. Multidiscip. Optim.,2013

4. An optimised submicron dual-material gate (DM) GaAs-MESFETs design to improve the analog performance using multi-objective computation;Lakhdar,2013

5. IoT networks 3D deployment using hybrid many-objective optimization algorithms;Mnasri;J. Heuristics,2020

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Landing location planning based on genetic cooperative particle swarm optimization;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

2. Multi-objective time-energy-impact optimization for robotic excavator trajectory planning;Automation in Construction;2023-12

3. Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems;Swarm and Evolutionary Computation;2023-04

4. Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO;Swarm and Evolutionary Computation;2023-02

5. Improved Sine Cosine Algorithm for Optimization Problems Based on Self-Adaptive Weight and Social Strategy;IEEE Access;2023