ENGINEERING OPTIMIZATION is a premier academic journal published by Taylor & Francis Ltd that has been at the forefront of the fields of Applied Mathematics, Computer Science Applications, Control and Optimization, Industrial and Manufacturing Engineering, and Management Science and Operations Research since its inception in 1974. With an impressive convergence period extending through 2024 and categorized in the Q2 quartile across various relevant disciplines, this journal is well-regarded for its rigorous peer-reviewed articles that address the latest advancements in optimization methodologies and their applications across industries. With current Scopus rankings placing it in the top percentiles for Applied Mathematics and Control and Optimization, ENGINEERING OPTIMIZATION serves as a vital resource for researchers, professionals, and students alike, dedicated to pushing the boundaries of knowledge and innovation in engineering and related fields. This journal does not offer Open Access; however, it remains accessible through institutional subscriptions and university libraries.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, published by Springer, stands as a leading journal in the fields of Applied Mathematics, Computational Mathematics, and Control and Optimization, showcasing a distinguished impact factor that underscores its relevance and scholarly influence. With its ISSN 0926-6003 and E-ISSN 1573-2894, this journal serves as a vital platform for researchers and professionals to discuss advancements in computational methods and optimization techniques, fostering interdisciplinary collaboration. Operating from the Netherlands and established in 1992, it covers works that push the boundaries of mathematical theory and practical applications. With an impressive standing in Scopus rankings—placing it in the top quartile for prominent mathematics disciplines—its rich archive and ongoing contributions are essential for anyone looking to contribute to or stay updated in these evolving areas. The journal's commitment to quality and innovation makes it an indispensable resource for academia and industry alike, ensuring that readers can engage with the most current research and developments in computational optimization.

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.

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.

Journal of Membrane Computing is an esteemed academic journal published by SpringerNature, focused on the innovative intersection of applied mathematics and computational theory. With an ISSN of 2523-8906 and an E-ISSN of 2523-8914, this journal plays a pivotal role in advancing the field, currently holding a commendable Q2 category rank in both applied mathematics and computational theory as of 2023. Its prestigious positioning—ranked #80 out of 635 in Applied Mathematics and #37 out of 176 in Computational Theory—places it in the top percentiles, reflecting its significant contributions to the discourse within these domains. Operating from Germany, the journal serves as a vital resource for researchers, professionals, and students, seeking to explore new theoretical frameworks and applications in membrane computing. With a focus on open access, it ensures that groundbreaking research is accessible to a broad audience, enhancing collaboration and innovation across disciplines. Founded in 2019, the journal continues to thrive until 2024, solidifying its position as a preeminent platform for the exchange of ideas and advancements in its field.

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.

COMPUTERS & OPERATIONS RESEARCH is a premier academic journal dedicated to the fields of operations research and computer science, published by Pergamon-Elsevier Science Ltd. With a legacy spanning nearly five decades, since its inception in 1974, this journal serves as a vital platform for the dissemination of high-quality research that intersects computer technology and operational methodologies. Holding an impressive impact factor and categorized in the esteemed Q1 quartile across multiple disciplines—namely Computer Science, Management Science, and Modeling & Simulation—this journal is positioned within the top ranks of Scopus, reflecting its significant contribution to advancing knowledge in these areas. Researchers and professionals can benefit from its comprehensive insights, rigorous peer-reviewed studies, and innovative methodologies, making it an essential resource for those seeking to explore cutting-edge developments and applications. The journal maintains a commitment to fostering scholarly dialogue and advancing research agendas, ensuring its relevance and importance well into the future.

International Journal of Systems Science-Operations & Logistics, published by TAYLOR & FRANCIS LTD, stands as a leading platform for the dissemination of high-quality research in the fields of operations science, logistics, and systems management. With an ISSN of 2330-2674 and an E-ISSN of 2330-2682, the journal is recognized for its rigorous peer-review process and its commitment to advancing theoretical and practical insights in the discipline. As of 2023, the journal proudly holds Q1 rankings in Information Systems, Information Systems and Management, and Management Information Systems, demonstrating its significant impact within the academic community. Additionally, it ranks within the top 20% of journals in categories such as Management Science and Operations Research and Decision Sciences. Researchers and professionals in the fields of management and logistics will find the journal invaluable for accessing cutting-edge research that addresses contemporary challenges. The journal’s diverse scope and relevance to real-world applications ensure it remains an essential resource for scholars and practitioners alike. With a converged publication timeline from 2014 to 2024, it continues to play a pivotal role in shaping discussions and innovation in systems science.

OPTIMIZATION METHODS & SOFTWARE, published by Taylor & Francis Ltd in the United Kingdom, is a premier journal dedicated to the field of optimization and software development. With an impressive impact factor, this journal maintains a critical role in advancing research in applied mathematics, control, and optimization, as evident from its categorization in the prestigious Q1 quartile for both applied mathematics and control and optimization, and Q2 in software for the year 2023. Over its publication span from 1992 to 2024, it has garnered significant recognition, ranking #116 out of 635 in applied mathematics and #29 out of 130 in control and optimization according to Scopus. The journal provides a platform for innovative research outcomes, theoretical advancements, and novel algorithms that aid researchers, professionals, and students in tackling complex optimization problems. Whether you are looking to disseminate your latest findings or explore cutting-edge methodologies, OPTIMIZATION METHODS & SOFTWARE remains an invaluable resource in the field.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, published by Springer/Plenum Publishers, is a prestigious academic journal that has been at the forefront of the fields of applied mathematics, control and optimization, and management science since its inception in 1967. With an ISSN number of 0022-3239 and an E-ISSN of 1573-2878, it is recognized for its rigorous peer-reviewed content and aims to provide a platform for the dissemination of research that advances theoretical frameworks and practical applications in optimization. As of 2023, the journal holds an impressive Q1 ranking in both Applied Mathematics and Control and Optimization, showcasing its impact and influence in these domains. The journal is also highly ranked in the realm of management science and operations research, making it a vital resource for academics, professionals, and students alike. Though it does not currently offer open access, the journal's articles are widely accessible through institutional subscriptions. Significantly, its long-standing commitment to scholarly excellence positions it as a key player in fostering innovative research and discussions that impact various real-world challenges in optimization.