English

Metaheuristics Algorithms: Overview, Applications, and Modifications

Metaheuristic algorithms have emerged as essential tools for solving complexoptimization problems across disciplines such as engineering, logistics, finance, andhealthcare. Their ability to efficiently explore large, nonlinear, and uncertain searchspaces makes them highly effective where traditional methods often fail.This book, Metaheuristics Algorithms: Overview, Applications, and Modifications,offers a structured overview of key algorithmic families—including evolutionary,swarm-based, physics-inspired, and human-based approaches—supported by theoreticalfoundations, classifications, and real-world applications. Emphasis is placed on recentadvancements, hybridizations, and performance-enhancing modifications.Designed for students, researchers, and practitioners, the content balances academicrigor with practical relevance, aiming to guide both implementation and innovation inmetaheuristic optimization.

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