A deep learning-based particle contribution evaluation mechanism for meta-heuristic optimization algorithms

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Fang Su, Ying Liu, Liquan Chen

Published: 2025, Last Modified: 15 May 2025Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The Problem with Weak Influence of Global Optimal Solutions is analyzed, and metrics are defined to reflect its severity.•A Particle Contribution Evaluation Mechanism is proposed to provide additional information for optimization adjustment.•Three different types of representative algorithms, DE, PSO and GSA, are selected and evaluated to verify the value of PCEM.