Description

Book Synopsis

1.Introductory concepts of metaheuristic techniques.- 2.An algorithm for global optimization inspired by collective animal behavior.- 3.A swarm optimization algorithm inspired in the behavior of the social-spider.- 4.An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation.- 5.Harnessing Locust Swarm Dynamics for Optimization Algorithms.- 6.Improving Function Evaluation Efficiency with an Enhanced Evolutionary Algorithm.- 7.A Fuzzy Logic-Inspired Metaheuristic Method for Enhanced Optimization.- 8.Modeling Optimization Techniques Inspired by Yellow Saddle Goatfish Behavior.- 9.An optimization algorithm guided by a machine learning approach.- 10.An improved Simulated Annealing algorithm based on ancient metallurgy techniques.- 11.Agent-based modeling approaches as metaheuristic methods.- 12.Evolutionary-Mean shift algorithm for dynamic multimodal function optimization.

Optimization Strategies A Decade of Metaheuristic Algorithm Development

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    A Hardback by Erik Cuevas

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      View other formats and editions of Optimization Strategies A Decade of Metaheuristic Algorithm Development by Erik Cuevas

      Publisher: Springer
      Publication Date: 11/03/2025
      ISBN13: 9783031810121, 978-3031810121
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      1.Introductory concepts of metaheuristic techniques.- 2.An algorithm for global optimization inspired by collective animal behavior.- 3.A swarm optimization algorithm inspired in the behavior of the social-spider.- 4.An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation.- 5.Harnessing Locust Swarm Dynamics for Optimization Algorithms.- 6.Improving Function Evaluation Efficiency with an Enhanced Evolutionary Algorithm.- 7.A Fuzzy Logic-Inspired Metaheuristic Method for Enhanced Optimization.- 8.Modeling Optimization Techniques Inspired by Yellow Saddle Goatfish Behavior.- 9.An optimization algorithm guided by a machine learning approach.- 10.An improved Simulated Annealing algorithm based on ancient metallurgy techniques.- 11.Agent-based modeling approaches as metaheuristic methods.- 12.Evolutionary-Mean shift algorithm for dynamic multimodal function optimization.

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