Multicriteria Algorithms with Applications (MAWA) is an international, double-blind peer-reviewed, open-access journal published by Sciences Force LLC. The journal publishes original scientific articles in English. Established in 2023, MAWA aims to advance research 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.

 

Journal History

Multicriteria Algorithms with Applications (MAWA) was founded in 2023 and published by Sciences Force LLC. The journal was established to advance research in multicriteria algorithms, soft computing, computational intelligence, and decision sciences. Since its inception, MAWA has provided a platform for disseminating innovative research and practical applications addressing real-world computational and decision-making challenges.

 

Publishing Schedule

Since its launch in 2023, the MAWA Journal has been published quarterly without interruption. Beginning in 2027, the journal will adopt an annual volume structure, with each volume comprising 4 issues published throughout the year.

Publisher/Editorial Office

Publisher: Sciences Force LLC
Address: 393 Piaget Ave PMB 110 Clifton, New Jersey 07011, United States
Email: contact@sciencesforce.com

Editorial office: Editorial office of MAWA

Managing Editor: Mohammad Abobala
Address: Department of Mathematics, Faculty of Science, Tishreen University, Syrian Arab Republic
Email: mohammadabobala777@gmail.com

 

Language

The journal is published in English.

Digital Archiving 

The journal is preserved in Portico, a trusted digital preservation service that ensures long-term access to published content. In addition, each article is assigned a Digital Object Identifier (DOI) through CrossRef, ensuring its ongoing discoverability.