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About the Journal
Metaheuristic Algorithms with Applications (MAA) is an international, peer-reviewed, and interdisciplinary journal dedicated to the theory, design, and application of metaheuristic optimization algorithms across all scientific and engineering domains. The journal provides a comprehensive forum for researchers, practitioners, and scholars to share innovations, methodologies, and insights that advance the state of the art in optimization, computational intelligence, and intelligent decision-making.
MAA covers the full spectrum of metaheuristic research from algorithmic development and hybridization to large-scale, real-world problem solving in computer science, information technology, decision science, engineering, applied mathematics, and data analytics. By bridging theoretical advances with practical implementations, the journal promotes the development of adaptive, efficient, and explainable optimization techniques that address complex challenges in modern computation and industry.
Metaheuristic Algorithms with Application is seeking to appoint an Editorial Board
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Current Issue
Articles
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Whale Optimization Algorithm: A Critical Survey of Fundamental Principles, Modern Adaptations, Benchmarking Practices, and Applications
Forest Growth Optimization: An Ecological-Succession-Inspired Metaheuristic with Pioneer-Intermediate-Climax Stage Progression
Blue-Red Cyber Coevolution: Archived SHADE with RF Surrogate for Autonomous Defense
Review: Evolution of Nature-Inspired Metaheuristic Algorithms: Developments, Trends, and Applications from 1990 to 2025
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Issue 1