Optimization Strategies: A Decade of Metaheuristic Algorithm Development

Inbunden, Engelska, 2025

Av Erik Cuevas, Angel Chavarin-Fajardo, Cesar Ascencio-Piña, Sonia Garcia-De-Lira, Cesar Ascencio-Pina

2 829 kr

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This book is to explore the development of metaheuristic algorithms over the past decade, focusing on key advancements in their components and structural features, which have driven progress in search techniques.

Produktinformation

Utgivningsdatum2025-03-07
Mått155 x 235 x 31 mm
Vikt855 g
FormatInbunden
SpråkEngelska
SerieIntelligent Systems Reference Library
Antal sidor447
FörlagSpringer International Publishing AG
ISBN9783031810121

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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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