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.
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Vol. 3 No. 3 (2026): Metaheuristic Algorithms with Applications (MAA)
Published:
2026-10-20
Articles
No articles are currently in press.
Feature Selection with Metaheuristic Algorithms: A Review of Recent Developments (2020–2025)
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Adoption of Multi-Objective Grey Wolf Optimization (MOGWO) for Effective Analysis and Classification of Crystal Structures in Materials Science
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Optimization of Construction Resource Allocation and Levelling Using the World Hyper-Heuristic Algorithm
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An Overview of Metaheuristic and Hyper-Heuristic Algorithms
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Comparing the Performance of the Wolf Algorithm with Three other Meta-Heuristic Algorithms (Bees, Biogeography-Based, Chicken Swarm)
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