Aims and scope

 

Metaheuristic Algorithms with Applications (MAA) is a premier international peer-reviewed journal dedicated to the dissemination and advancement of research in the field of metaheuristic algorithms and their diverse applications. The journal's primary aim is to publish high-quality scientific papers that make significant contributions to the theory, development, and practical application of metaheuristic algorithms in various domains.

Scope:

MAA's scope is broad and inclusive, covering a wide range of topics within the realm of metaheuristic algorithms and their applications, including but not limited to:

Computational Intelligence and Metaheuristics: Focusing on the development and application of advanced metaheuristic algorithms such as genetic algorithms, swarm intelligence, and other heuristic techniques. The journal explores both the theoretical advancements and practical implementations of these algorithms.

Machine Learning and Deep Learning: Investigating the integration of metaheuristic algorithms with machine learning and deep learning techniques. This includes algorithmic strategies for neural network training, optimization, and application in data-driven fields.

Quantum and Artificial Intelligence Algorithms: Exploring the cutting-edge intersection of quantum computing with artificial intelligence and metaheuristics, including quantum algorithm development and applications in computational intelligence.

Applications in Engineering and Technology: Highlighting the application of metaheuristic algorithms in various engineering disciplines, including but not limited to, civil, mechanical, electrical, and systems engineering.

Big Data Analytics and Optimization: Addressing the challenges of big data environments through the application of metaheuristic algorithms for data mining, predictive analytics, and large-scale data optimization.

Sustainability and Environmental Applications: Applying metaheuristic algorithms to promote sustainability in areas such as renewable energy systems, environmental modeling, and sustainable development practices.

Decision Science and Operations Research: Featuring research that applies metaheuristic algorithms to optimize decision-making processes, resource allocation, logistics, and supply chain management.

Emerging Trends and Novel Applications: MAA is committed to publishing research on novel and emerging applications of metaheuristic algorithms, pushing the boundaries of current knowledge and exploring innovative uses in various scientific and industrial domains.

Interdisciplinary Research: The journal encourages interdisciplinary research that combines metaheuristic algorithms with other scientific and engineering disciplines, offering novel perspectives and solutions to complex problems.

Metaheuristic Algorithms with Applications aims to be a leading platform for researchers, practitioners, and scholars to share and discuss their findings in the dynamic field of metaheuristics. By advancing the understanding and application of these algorithms, MAA contributes significantly to various scientific and practical domains, driving innovation and development in computational intelligence.