Overcoming center-bias behavior: A metaheuristic algorithm with dual operators for optimized search and refinement

In most metaheuristic methods, a single operator is employed for both exploration and exploitation. While this makes the algorithm simple, this approach can introduce inefficiencies, such as inadequate coverage of areas, revisiting irrelevant spaces, and poor refinement of solutions. In this paper,...

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Bibliographic Details

Main Authors:	Erik Cuevas, Oscar A. González-Sánchez, Héctor Escobar, Ernesto Ayala, Daniel Zaldívar, Marco Pérez-Cisneros, Alma N. Rodríguez-Vázquez
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2026-06-01
Series:	Systems and Soft Computing
Subjects:	Metaheuristic methods Latin hypercube sampling method center-biased operators
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772941925002558
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