Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems

Ruyi Dong, Yanan Liu, Siwen Wang, Ali Asghar Heidari, Mingjing Wang*, Yi Chen, Shuihua Wang, Huiling Chen*, Yudong Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The kernel search optimizer (KSO) is a recent metaheuristic optimization algorithm that is based on kernel theory, eliminating the need for hyper-parameter adjustments, and demonstrating excellent global search capabilities. However, the original KSO exhibits insufficient accuracy in local search, and there is a high probability that it may fail to achieve local optimization in complex tasks. Therefore, this paper proposes a multi-strategy enhanced KSO (MSKSO) to enhance the local search ability of the KSO. The MSKSO combines several control strategies, including chaotic initialization, chaotic local search mechanisms, the high-altitude walk strategy (HWS), and the Levy flight (LF), to effectively balance exploration and exploitation. The MSKSO is compared with ten well-known algorithms on 50 benchmark test functions to validate its performance, including single-peak, multi-peak, separable variable, and non-separable variable functions. Additionally, the MSKSO is applied to two real engineering economic emission dispatch (EED) problems in power systems. Experimental results demonstrate that the performance of the MSKSO nearly optimizes that of other well-known algorithms and achieves favorable results on the EED problem. These case studies verify that the MSKSO outperforms other algorithms and can serve as an effective optimization tool.

Original languageEnglish
Pages (from-to)135-172
Number of pages38
JournalJournal of Computational Design and Engineering
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Feb 2024
Externally publishedYes

Keywords

  • Chaos mechanism
  • EED
  • Economic emission dispatch
  • High-altitude walk strategy
  • Kernel search algorithm
  • Levy flight

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