A New Optimization Idea: Parallel Search-Based Golden Jackal Algorithm
Bin Wang,
Qibing Jin,
Ruilian Zhao
et al.
Abstract:As the variety and scope of optimization problems continue to expand, the applicability of a single algorithm may not be universal. To address this challenge, this paper introduces an enhanced iteration of the Golden Jackal Optimization (GJO) algorithm, termed the Parallel Search-based Golden Jackal Optimization (PGJO) algorithm. This algorithm integrates the concept of parallel search into the initialization, updating, and selection mechanisms. It includes a chaotic mapping preselection during the initializat… Show more
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