SOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.

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.

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.

Computer Science Journal of Moldova, published by the Institute of Mathematics and Computer Science Academy, serves as a pivotal platform for disseminating research in the field of computer science since its inception in 1993. With a focus on a diverse range of subjects, including Artificial Intelligence, Computational Mathematics, and Software Engineering, this open access journal aims to foster innovation and collaboration among researchers, students, and industry professionals. Despite its current positioning in the lower quartiles as per the latest Scopus rankings, the journal remains committed to enhancing the visibility of regional research and addressing contemporary challenges through scholarly contributions. The journal’s open access model ensures that knowledge is freely available, promoting broader readership and impact within the international academic community. As it moves through the converged years from 2019 to 2024, the Computer Science Journal of Moldova continues to aspire toward empowering the next generation of computer scientists while enriching the global dialogue in this rapidly evolving field.

Evolving Systems, an esteemed journal published by Springer Heidelberg, focuses on advancing the interdisciplinary field of evolving systems, encompassing areas such as computer science applications, control and optimization, control and systems engineering, and modeling and simulation. Since its inception in 2010, the journal has made significant contributions to the academic community, currently holding a commendable Q2 ranking across multiple categories for the year 2023. With an impactful focus on the dynamic behaviors of systems and their adaptive methodologies, Evolving Systems serves as a crucial platform for researchers, professionals, and students aiming to explore and expand the boundaries of system evolution. Despite being a subscription-based journal, it remains committed to fostering high-quality research dissemination and encourages submissions that push the envelope of knowledge in this rapidly developing field. The journal employs a rigorous peer-review process, ensuring the publication of cutting-edge research that meets the highest scholarly standards.

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.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

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.

Quantum Machine Intelligence is a leading academic journal published by Springer Nature, focusing on the rapidly evolving intersection of quantum computing and artificial intelligence. With an impressive impact factor reflected in its prestigious ranking in various categories—Q1 in Applied Mathematics, Computational Theory and Mathematics, and Theoretical Computer Science, alongside Q2 in Artificial Intelligence and Software—this journal serves as a vital platform for disseminating innovative research from 2019 to 2024. Researchers, professionals, and students are encouraged to engage with the journal’s content, which features high-quality peer-reviewed articles that explore theoretical foundations and practical applications of quantum technologies in machine intelligence. Although the journal operates under traditional subscription models, it is committed to advancing open academic discourse and accessibility in the digital age. With Scopus rankings that place it among the top echelons of its fields, the journal is an essential resource for anyone interested in the transformative potential of quantum algorithms and AI.