INFORMS JOURNAL ON COMPUTING, published by INFORMS, stands as a quintessential platform for disseminating cutting-edge research and innovative methodologies in the realms of computing, information systems, and operations research. Since its inception in 1996, this journal has consistently maintained a prestigious Q1 quartile ranking across multiple categories, including Computer Science Applications, Information Systems, and Management Science and Operations Research, reflecting its significant impact and relevance in the academic community. The journal serves as a vital resource for researchers, professionals, and students alike, fostering interdisciplinary dialogue and the advancement of theoretical and practical contributions in computing. With no open access restrictions, it remains accessible to those engaged in the pursuit of knowledge and innovation in a rapidly evolving field. Housed in the United States, the journal continues to thrive, enriching the discourse in technology and its applications until 2024 and beyond.

OPTIMIZATION is a distinguished scholarly journal published by TAYLOR & FRANCIS LTD, catering to the vibrant fields of Applied Mathematics, Control and Optimization, and Management Science and Operations Research. With an ISSN of 0233-1934 and an E-ISSN of 1029-4945, this journal serves as a crucial platform for researchers, practitioners, and students alike, presenting cutting-edge research and innovative methodologies since its inception in 1985. With its current standing in the Q2 category across multiple fields as of 2023, OPTIMIZATION underscores its impact and relevance in the academic community, attracting high-quality contributions and fostering knowledge dissemination. Though it operates under a traditional access model, the journal ensures that its rigorous peer-reviewed content remains accessible to a wide audience, reflecting the latest advancements in optimization techniques and their applications in real-world scenarios. Whether you’re looking to deepen your understanding of optimization principles or apply these insights within your own research, OPTIMIZATION is an essential resource for advancing your knowledge and expertise in this dynamic field.

EURO Journal on Computational Optimization, published by ELSEVIER, is a leading open-access journal that has been advancing the field of computational optimization since its inception in 2013. Catering to a diverse audience of researchers, professionals, and students, this journal addresses critical developments in computational mathematics, control and optimization, and management science. With an impressive Q1 category ranking in multiple areas, including Computational Mathematics and Management Science and Operations Research, the journal serves as a pivotal platform for disseminating groundbreaking research and innovative methodologies. Its commitment to open access ensures that valuable insights are readily available to the global academic community. With a continuous publication timeline through 2024, the EURO Journal on Computational Optimization is positioned at the forefront of its field, fostering collaboration and innovation in optimization techniques and applications.

Swarm and Evolutionary Computation is an esteemed academic journal published by Elsevier, dedicated to the exploration of innovative algorithms and methodologies derived from principles of swarm intelligence and evolutionary computation. With its ISSN 2210-6502 and E-ISSN 2210-6510, this journal has earned a prominent position in the field, evidenced by its Q1 category rankings in both Computer Science and Mathematics for 2023, reflecting its high impact and relevance. The journal's Scopus rankings further underscore its significance, placing it in the top percentile of mathematics and computer science journals. As an open-access platform, it aims to disseminate groundbreaking research that addresses real-world challenges and fosters interdisciplinary collaboration. Researchers, professionals, and students are encouraged to engage with this journal to contribute to and benefit from the ongoing advancements in swarm intelligence and evolutionary methods, which have become instrumental in solving complex optimization problems across diverse fields.

Operational Research is a premier academic journal published by Springer Heidelberg, focusing on the intersection of advanced computational theory, management science, and operations research. With an ISSN of 1109-2858 and an E-ISSN of 1866-1505, this respected journal serves as a key platform for the dissemination of high-quality research that enhances the understanding and application of quantitative methods across various fields, including technology management, simulation modeling, and statistical analysis. With its impressive performance evidenced by a Q2 ranking in multiple categories such as Computational Theory and Mathematics and Management Science, Operational Research occupies a critical role in the knowledge landscape, reflecting its 88th percentile ranking in decision sciences and numerical analysis per Scopus metrics. While currently not open access, it continues to facilitate the advancement of its disciplines through rigorous peer-review, with a commitment to publishing relevant, impactful studies from 2009 through to 2024. Researchers, professionals, and students alike will find this journal an invaluable resource for staying abreast of significant advancements in operational research methodologies and applications.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, published by Taylor & Francis Inc, is a premier international journal dedicated to advancing the fields of analysis, optimization, and applied mathematics. With its ISSN 0163-0563 and E-ISSN 1532-2467, this journal has established itself as a vital resource for researchers and practitioners seeking to explore innovative methodologies and applications. Covering a broad spectrum of topics intersecting mathematical analysis and computer science, it has consistently ranked in the Q2 tier for Analysis and Control and Optimization categories and is well-regarded in the communities of Signal Processing and Computer Science Applications. The journal's commitment to publishing high-quality research ensures significant contributions to solving complex problems in various fields, making it an essential reference for students, academics, and industry professionals. With a publishing history dating back to 1979, it encourages the dissemination of groundbreaking ideas and practical methodologies, fostering a collaborative academic environment. Access to the published articles may vary, so contributors and readers are encouraged to engage with the latest findings and ongoing research through the journal’s platform.

Pacific Journal of Optimization, published by YOKOHAMA PUBL, is a premier academic journal dedicated to the field of optimization, focusing on both theoretical developments and practical applications. With its ISSN 1348-9151, this journal provides a vital platform for researchers, professionals, and students to disseminate their innovative findings and to stay abreast of emerging trends in optimization. Although the journal’s coverage in Scopus was discontinued in 2012, it remains a significant resource for academics seeking to deepen their understanding of optimization methodologies across various disciplines. The journal promotes an enriching exchange of ideas, fostering advancements that are essential in the evolving landscape of operations research and decision-making processes. While it currently does not operate under an Open Access model, its content is pivotal for those aiming to contribute to and learn from cutting-edge research in optimization.

Journal of the Operations Research Society of China, published by SPRINGER HEIDELBERG, stands as a pivotal platform for advancing the fields of Operations Research, Applied Mathematics, and Decision Sciences. With an ISSN of 2194-668X and an E-ISSN of 2194-6698, this journal not only serves as a conduit for innovative research from 2013 to 2024 but also maintains a commendable Q2 ranking in Applied Mathematics and Mathematics (miscellaneous), reflecting its impact and relevance in the academic community. Situated in the United States, the journal fosters an interdisciplinary approach, inviting researchers, practitioners, and students to engage with cutting-edge findings and methodologies. Although currently not an Open Access journal, it offers a wealth of knowledge that empowers professionals in management science and operations research, as evidenced by its rankings—53rd out of 399 in general mathematics and 194th out of 635 in applied mathematics. This positioning highlights the journal's commitment to quality, contributing significantly to the body of knowledge in these dynamic fields.

ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH is a premier academic publication dedicated to the dynamic fields of operational research and management science, published by WORLD SCIENTIFIC PUBL CO PTE LTD. Located in Singapore, this journal has been pivotal in contributing to the dialogue and development of innovative strategies and methodologies within the operational research community since its inception in 1991. With a focus on practical applications and theoretical advancements, it serves as an essential resource for researchers, practitioners, and students seeking to enhance their understanding and expertise in decision sciences. The journal has gained recognition with a Q3 ranking in Management Science and Operations Research in the 2023 category quartiles, underlining its significance in the academic landscape. The Scopus ranking positions it reasonably well, attracting contributions that address both contemporary and emerging challenges in the field. Although the journal operates under a traditional publishing model, it offers vital access to a wealth of high-quality research, making it a go-to source for key findings and methodologies in operational research. Through its rigorous peer-review process, the journal aims to foster collaborative efforts that advance knowledge and practice across the Asia-Pacific region and beyond.

Computational Management Science, published by SPRINGER HEIDELBERG, is a significant journal catering to the intersection of technology, management, and decision sciences. With an ISSN of 1619-697X and E-ISSN 1619-6988, this journal serves as a platform for innovative research focusing on computational methods applied to management science, operations research, and information systems. Based in Germany, the journal spans a critical period from 2005 to 2024, emphasizing trends that shape the future of the field. As a Tier 3 journal in multiple categories including Business, Management, and Accounting, and ranked across various disciplines with Scopus rankings highlighting its relevance, it stands out in fostering scholarly discourse. The journal invites contributions that enhance the application of computational techniques in decision-making, thereby enriching the practices of both academics and industry professionals. While it currently does not offer open access, its influence is reflected in its established readership and community engagement. Researchers, practitioners, and students alike will find in this journal a vital resource for advancing knowledge and sparking innovation in computational management.