About the Journal

Annals of Optimization With Applications (ANOWA) is a distinguished, international peer-reviewed journal focused on advancing optimization methodologies in science, engineering, and beyond. As an open-access publication, ANOWA ensures that all articles are freely available to a global audience, fostering an environment where knowledge and innovation can be shared without barriers. The journal encourages interdisciplinary exploration and collaboration, targeting both theoretical and practical advancements in optimization across a wide range of domains.

The scope of ANOWA includes, but is not limited to, topics such as large-scale optimization, combinatorial optimization, data envelopment analysis, stochastic methods, quantum optimization, and intelligent engineering systems under uncertainty. The journal aims to provide a dedicated platform for researchers, scholars, and practitioners to share their findings, pushing the boundaries of optimization theory, algorithms, computational studies, and applications.

ANOWA publishes not only original research papers but also review articles that examine the current state of the field, identify emerging trends, and suggest future directions for developing optimization technologies. The journal embraces contributions that focus on new methodologies, computational experiments, benchmarks, and theoretical insights, all aimed at furthering the collective understanding of optimization and its applications.

Open Access Policy: ANOWA is committed to an open-access policy, making all published content freely available to readers worldwide. This ensures that the research is widely accessible, benefiting both the academic community and society at large. Readers have the right to read, download, copy, distribute, and link to the full texts of articles without seeking permission from the publisher or authors, adhering to the principles of unrestricted knowledge dissemination.

Copyright and Licensing: All articles published in ANOWA are licensed under a Creative Commons license, allowing readers to use the content with proper attribution. This approach supports the journal's mission of fostering a collaborative and ethical research environment.

Ethical Standards: ANOWA upholds high ethical standards for research publication, adhering to rigorous peer review processes and established publishing ethics. All submissions undergo blind peer review by experts in the field, ensuring scholarly excellence and the integrity of the published work.

Editorial Board: The journal's editorial board comprises esteemed scholars and experts from a variety of optimization-related disciplines, bringing a diverse range of perspectives and insights to the journal. This commitment to diversity and expertise strengthens ANOWA's role as a hub for pioneering research in optimization.

History and Sponsorship: Established with the goal of becoming a leading publication in the field of optimization, ANOWA is backed by the Research Expansion Alliance. The journal aims to be indexed in prestigious databases, ensuring maximum visibility and impact for its authors.

Publication Frequency: ANOWA publishes four issues per year. Processed and accepted papers are continually added to each issue, complete with full bibliographic data, enabling timely dissemination of research findings.

e-ISSN (Online): xxxx-xxxx

Publication Fee: ANOWA does not charge publication fees, promoting equitable access to publishing opportunities for authors worldwide.

Publishers: The journal is proudly published by the Research Expansion Alliance (REA), a collective dedicated to fostering research and scholarship across multiple disciplines.

ANOWA invites contributions from researchers, practitioners, and enthusiasts interested in advancing the field of optimization, whether through theoretical insights, algorithmic development, or practical applications. By fostering a collaborative and inclusive research community, ANOWA aims to drive innovation and contribute significantly to the advancement of optimization techniques globally.