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The chapter aims to present the basic concepts of learning strategies in metaheuristic algorithms and provide an in-depth review of their essential characteristics and advantages. It also considers pointing out, in particular, the role and contribution of individual and collective behavior in metaheuristic techniques for the searching process of solutions to optimization problems.

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Optimization

  • 章节

  • 发表日期：

    2025年

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  • Erik Cuevas,
  • Nahum Aguirre,
  • Oscar Barba-Toscano,
  • Mario Vásquez-Franco

摘要

The chapter aims to present the basic concepts of learning strategies in metaheuristic algorithms and provide an in-depth review of their essential characteristics and advantages. It also considers pointing out, in particular, the role and contribution of individual and collective behavior in metaheuristic techniques for the searching process of solutions to optimization problems.