Multicriteria Algorithms with Applications (MAWA) is a peer-reviewed, interdisciplinary scientific journal committed to advancing research and applications in the fields of multicriteria algorithms, soft computing, computational intelligence, and decision sciences. The journal serves as a nexus for academics, industry professionals, and researchers worldwide to share high-quality scientific papers that explore the synergies between various soft computing techniques and their practical applications. MAWA encompasses a wide range of topics, including but not limited to multicriteria algorithms, evolutionary algorithms, machine learning, fuzzy sets, and their extensions, as well as their applications in areas like engineering design, data science, and intelligent systems. By connecting theoretical frameworks with real-world challenges, MAWA aims to push the boundaries of what multicriteria algorithms can achieve.
The goal of the Journal of Multicriteria Algorithms with Applications (MAWA) is to help promote advances in the development and practice of multicriteria algorithms and their generalization in the areas of foundations, mathematics, finance, management, economics, data analysis, decision support systems, numerical methods, information systems, artificial intelligence, uncertainty and indeterminacy modeling, soft computing, granular computing, and others. The journal's scope involves multicriteria algorithms and applications in every branch of science and technology, including but not limited to:
Editor-in-Chief
Seyyed Ahmad Edalatpanah
Associate Professor, Ayandegan Institute of Higher Education, Tonekabon, Iran
2996-4938
APFFree