An improved particle swarm optimization algorithm based on centroid and exponential inertia weight

DOI10.1155/2014/976486zbMath1407.90355OpenAlexW2028369708WikidataQ59071333 ScholiaQ59071333MaRDI QIDQ1719512

Shouwen Chen, Shun Liu, Zhuoming Xu, Yan Tang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/976486

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification
• Chaos embedded particle swarm optimization algorithms
• An improved GA and a novel PSO-GA-based hybrid algorithm
• Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data
• An improved particle swarm optimization with double-bottom chaotic maps for numerical optimization
• A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum

This page was built for publication: An improved particle swarm optimization algorithm based on centroid and exponential inertia weight