Application of multi-objective particle swarm optimization based on short-term memory and K-means clustering in multi-modal multi-objective optimization-Reference-Cited by-同舟云学术

Application of multi-objective particle swarm optimization based on short-term memory and K-means clustering in multi-modal multi-objective optimization

Published:2022-06 Issue: Volume:112 Page:104866
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yang Yang^ORCID,Liao Qianfeng,Wang Jiang,Wang Yuan

Funder

State Key Lab of Digital Manufacturing Equipment and Technology

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. A study on performance metrics to identify solutions of interest from a trade-off set;Bhattacharjee,2016

2. MOPSO : A proposal for multiple objective particle swarm;Coello,2003

3. Handling multiple objectives with particle swarm optimization;Coello;IEEE Trans. Evol. Comput.,2004

4. Differential evolution: A survey of the state-of-the-art;Das;IEEE Trans. Evol. Comput.,2010

5. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II;Deb,2000

Cited by 22 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. Optimization of Life Cycle Cost and Environmental Impact Functions of NiZn Batteries by Using Multi-Objective Particle Swarm Optimization (MOPSO);Sustainability;2024-07-27

2. Establishment of electric two-wheeler driving cycle for energy economy and life cycle assessment under Indian Tier-2 city driving environments;Sustainable Energy Technologies and Assessments;2024-06

3. A multi-threaded particle swarm optimization-kmeans algorithm based on MapReduce;Cluster Computing;2024-04-06

4. A many-objective evolutionary algorithm based on learning assessment and mapping guidance of historical superior information;Journal of Computational Design and Engineering;2024-03-06

5. An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems;Geoscientific Instrumentation, Methods and Data Systems;2024-02-13