International Journal of Swarm Intelligence Research, published by IGI Global, stands at the forefront of research in the dynamic field of artificial intelligence, focusing specifically on swarm intelligence and its applications. With an ISSN of 1947-9263 and an E-ISSN of 1947-9271, this journal has carved a niche within academia since its inception, boasting a commendable Q3 rank in the categories of Artificial Intelligence, Computational Theory and Mathematics, and Computer Science Applications as of 2023. The journal spans vital research from the years 2017 to 2024, fostering an environment that welcomes innovative studies that apply natural systems principles to computational methodologies. Although not classified as Open Access, the journal remains accessible to a broad audience, providing vital insights and fostering discussion among researchers, professionals, and students delving into cutting-edge swarm intelligence topics. As such, this journal is an essential resource for those aiming to advance their understanding and application of these transformative technologies.

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.

New Mathematics and Natural Computation, published by World Scientific Publishing Co Pte Ltd, is a pivotal journal in the realms of applied mathematics and computational theories, catering to a diverse audience of researchers, professionals, and students. With an ISSN of 1793-0057 and E-ISSN 1793-7027, this journal serves as a critical platform for disseminating innovative research and methods that intertwine mathematical theories with natural computation processes. Operating from Singapore, it emphasizes accessibility and collaboration in advancing interdisciplinary knowledge, despite its current Q4 rankings across relevant categories such as Applied Mathematics and Human-Computer Interaction—highlighting the journal’s commitment to growth and improvement in a competitive publishing landscape. As a source of insightful findings and applications in mathematics and computer science, it invites contributors to explore the dynamic intersections between these fields and foster academic dialogue. Researchers aiming to engage with cutting-edge advancements will find this journal instrumental for their work from its inaugural issue in 2012 through its projected publications into 2024.

COMPUTATIONAL STATISTICS, published by Springer Heidelberg, is a prominent international journal that bridges the fields of computational mathematics and statistical analysis. Since its inception in 1996, this journal has served as a critical platform for disseminating high-quality research and advancements in statistical methodologies and computational techniques. Operating under Germany's esteemed scholarly tradition, it holds a commendable Q2 ranking in key categories such as Computational Mathematics and Statistics and Probability, reflecting its significant impact and relevance in the academic community. Although it does not offer Open Access, the journal remains a vital resource for researchers, professionals, and students seeking to enhance their understanding of the intricate interplay between computation and statistical inference. Each issue features rigorously peer-reviewed articles that contribute to the development of innovative methodologies and applications, thereby solidifying its role in shaping the future of computational statistics.

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.

Optimization Letters, published by SPRINGER HEIDELBERG, is a leading journal dedicated to the field of optimization, serving as a platform for high-quality research that spans across mathematics, control, and management disciplines. Based in Germany, this journal has been pivotal in advancing the theory and applications of optimization since its inception in 2007, converging a wide scope of innovative methodologies and practical applications up until 2024. With an impressive Scopus ranking placing it in the Q2 category for both Business, Management and Accounting (miscellaneous) and Control and Optimization, it reflects the journal's commitment to disseminating impactful research. Researchers and practitioners benefit from the journal’s rigorous peer-review process, enhancing its credibility within the academic community. Optimization Letters invites contributions that encapsulate novel findings and methodologies that drive forward the understanding and applications of optimization, making it an invaluable resource for those in related fields.

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

Memetic Computing is a premier academic journal published by SPRINGER HEIDELBERG, dedicated to advancing research in the interdisciplinary domains of computer science and control optimization. With an impact factor that places it in the prestigious Q1 category for both Computer Science and Control and Optimization as of 2023, Memetic Computing stands at the forefront of innovation, offering researchers, professionals, and students a vital platform to explore and disseminate transformative findings in these rapidly evolving fields. With convergence periods specified from 2009 to 2024, the journal aims to illustrate the synergy between algorithmic and natural systems, reflecting current trends and future trajectories within the scope of memetic algorithms. Its robust Scopus rankings signal its significance as an influential resource within the global academic community. This journal is invaluable for those looking to enhance their understanding and engage with cutting-edge research that blends computational theory with practical applications.

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.

International Journal of Computational Intelligence Systems, published by SPRINGERNATURE, is a leading open-access journal that has been at the forefront of research in the field of computational intelligence since 2008. With an ISSN of 1875-6891 and an E-ISSN of 1875-6883, this journal occupies a prominent place in the academic landscape, achieving impressive rankings in its categories: Q2 in both Computational Mathematics and Computer Science (miscellaneous), reflecting its significance and relevance to researchers, professionals, and students. Based in Switzerland, the journal is committed to disseminating high-quality research and fostering innovation in computational methodologies, algorithms, and applications. Its strong impact factor and Scopus rankings—31/189 in Computational Mathematics and 53/232 in General Computer Science—underscore its critical role in advancing knowledge in these interdisciplinary fields. As an open-access journal, it provides unparalleled accessibility to cutting-edge research, supporting the global community in staying at the forefront of computational intelligence advancements.