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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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Metaheuristic Algorithms for Mathematical Problem Solving: A Comparative Experimental Study on Nonlinear Systems, Boundary Value Problems, and NP-Hard Combinatorial Optimization
Dynamic Portfolio Optimization in the Tehran Stock Exchange Using Machine Learning and Deep Earning Algorithms
Metaheuristic Optimization Algorithms in Artificial Intelligence: A Comprehensive Systematic Review of Neural Architecture Search, Hyperparameter Optimization, and Intelligent Feature Engineering
Metaheuristic Optimization Algorithms in Mathematical Sciences: A Comprehensive Review of Numerical Methods, Combinatorial Problems, and Emerging Mathematical Applications
Metaheuristic Optimization Algorithms in Geophysics: A Comprehensive Review of Seismic Inversion, Potential Field Modeling, and Geophysical Data Interpretation
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Issue 1