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.

JOURNAL OF COMBINATORIAL OPTIMIZATION, published by Springer, stands at the forefront of research in the fields of applied mathematics, computational theory, and combinatorial optimization. With an ISSN of 1382-6905 and E-ISSN of 1573-2886, this esteemed journal serves as a vital platform for groundbreaking studies and methodologies from 1997 to 2024. Notably positioned in the Q3 quartile across several categories, including applied mathematics and discrete mathematics, it reflects a commitment to high-quality research that pushes the boundaries of knowledge in quantitative analysis and algorithm development. Although it does not offer open access, its visibility and impact are underscored by impressive Scopus rankings, such as the 67th percentile in discrete mathematics and combinatorics. The journal aims to foster a comprehensive understanding of combinatorial optimization and its applications, making it an indispensable resource for researchers, professionals, and students eager to stay abreast of the latest trends and advancements in these dynamic disciplines.

EVOLUTIONARY COMPUTATION, published by MIT PRESS, is a premier journal in the field of Computational Mathematics, holding a distinguished Q1 ranking in the 2023 category and an impressive 87th percentile in Scopus rankings for Computational Mathematics. Since its inception in 1996, the journal has served as a critical platform for presenting cutting-edge research and development in the applications and theory of evolutionary algorithms. Recognized for its rigorous peer-review process, EVOLUTIONARY COMPUTATION invites contributions that advance the understanding of algorithmic strategies inspired by natural evolution, thereby playing a significant role in the scientific community. The journal is pivotal for researchers, professionals, and students aiming to explore innovative methodologies and applications of evolutionary techniques in diverse fields. With a focus on fostering collaboration and knowledge dissemination, this journal not only serves the academic community but also impacts industry practices, encouraging the integration of these evolutionary approaches into real-world problems.

The JOURNAL OF SYMBOLIC COMPUTATION, published by Academic Press Ltd - Elsevier Science Ltd, serves as a prominent platform for researchers, professionals, and students in the field of mathematics. With an ISSN of 0747-7171 and E-ISSN of 1095-855X, this esteemed journal has been at the forefront of advancing knowledge in symbolic computation since its inception in 1985. The journal is categorized within the Q2 quartile for both Algebra and Number Theory and Computational Mathematics, reflecting its growing influence in these critical areas, as evidenced by its Scopus rankings—ranking 27 out of 119 in Algebra and 104 out of 189 in Computational Mathematics. Researchers can access a wealth of cutting-edge research articles that explore the intricacies of algorithms, algebraic models, and computational methodologies. As it converges towards its 40th anniversary in 2025, the JOURNAL OF SYMBOLIC COMPUTATION continues to be an indispensable resource for advancing theoretical and practical applications in mathematical computation.

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

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.

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.

International Journal of Bio-Inspired Computation, published by INDERSCIENCE ENTERPRISES LTD, is a leading platform dedicated to advancing research in the fields of bio-inspired computing and its applications. With a robust ISSN of 1758-0366 and E-ISSN of 1758-0374, this journal contributes significantly to the discourse in Computer Science, particularly emphasizing theoretical and practical frameworks that mirror natural processes. Situated in Switzerland, this peer-reviewed journal operates under a rigorous editorial process, ensuring high-quality publications that attract considerable attention, as evidenced by its placement in the Q2 category for 2023 in General Computer Science and Q3 in Theoretical Computer Science. With Scopus rankings reflecting its growing influence—ranked #62 out of 232 in General Computer Science and #36 out of 130 in Theoretical Computer Science—this journal invites researchers, professionals, and students to explore innovative methodologies and development in bio-inspired technologies. Although it currently does not adopt an open-access model, the journal remains committed to disseminating vital research that fuels advancements in computational intelligence, fostering collaboration and knowledge exchange in the ever-evolving landscape of computing.

ACM Transactions on Computation Theory, published by the Association for Computing Machinery, is a prestigious journal dedicated to advancing the field of computation theory and theoretical computer science. With an ISSN of 1942-3454 and an E-ISSN of 1942-3462, this journal serves as a vital resource for researchers and professionals seeking to explore groundbreaking developments in computational models, algorithms, and their mathematical foundations. The journal's rigorous standards have earned it a significant position within the academic community, as evidenced by its 2023 category quartiles, ranking in the Q1 category for Computational Theory and Mathematics and Q2 for Theoretical Computer Science. Although it operates through traditional subscription access, it maintains a critical role in disseminating cutting-edge research and fostering collaboration among experts in the United States and beyond. As an influential platform, ACM Transactions on Computation Theory is committed to contributing to the ongoing dialogue and advancement of computation theory, making it essential reading for anyone passionate about this dynamic field.