A hybrid particle swarm optimizer with sine cosine acceleration coefficients-Reference-Cited by-同舟云学术

A hybrid particle swarm optimizer with sine cosine acceleration coefficients

Published:2018-01 Issue: Volume:422 Page:218-241
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chen Ke,Zhou Fengyu,Yin Lei,Wang Shuqian,Wang Yugang,Wan Fang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Key Program of Scientific and Technological Innovation of Shandong Province

Key Research and Development Program of Shandong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Balancing stochastic U-lines using particle swarm optimization;Aydoğan;J. Intell. Manuf,2016

2. Opposition-based learning in the shuffled bidirectional differential evolution algorithm;Ahandani;Swarm Evol. Comput,2016

3. A survey on optimization metaheuristics;BoussaïD;Inf. Sci.,2013

4. Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information;Chou;Inf. Sci.,2017

5. A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization;Cui;Inf. Sci.,2017

Cited by 148 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. An adaptive pyramid PSO for high-dimensional feature selection;Expert Systems with Applications;2024-12

2. An Opposition-Based Learning Adaptive Chaotic Particle Swarm Optimization Algorithm;Journal of Bionic Engineering;2024-09-04

3. DCWPSO: particle swarm optimization with dynamic inertia weight updating and enhanced learning strategies;PeerJ Computer Science;2024-09-03

4. SWOAM: Swarm optimized agents for energy management in grid-interactive connected buildings;Energy;2024-08

5. An effective approach for adaptive operator selection and comparison for PSO algorithm;2024-07-18