Journal article
A Surrogate-Assisted Multiswarm Optimization Algorithm for High-Dimensional Computationally Expensive Problems
Abstract
This article presents a surrogate-assisted multiswarm optimization (SAMSO) algorithm for high-dimensional computationally expensive problems. The proposed algorithm includes two swarms: the first one uses the learner phase of teaching-learning-based optimization (TLBO) to enhance exploration and the second one uses the particle swarm optimization (PSO) for faster convergence. These two swarms can learn from each other. A dynamic swarm size …
Authors
Li F; Cai X; Gao L; Shen W
Journal
IEEE Transactions on Cybernetics, Vol. 51, No. 3, pp. 1390–1402
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
March 2021
DOI
10.1109/tcyb.2020.2967553
ISSN
2168-2267