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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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Adoption of Multi-Objective Grey Wolf Optimization (MOGWO) for Effective Analysis and Classification of Crystal Structures in Materials Science
Energy-Efficient Routing in Smart Parking Networks Using the Metaheuristic Approach
TSR-Driven CNN Optimization for Accurate and Interpretable Nonalcoholic Fatty Liver Disease Diagnosis
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Issue 1