JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Scope & Guideline

Shaping the Future of Control and Management Science

Introduction

Welcome to your portal for understanding JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0022-3239
PublisherSPRINGER/PLENUM PUBLISHERS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1967 to 2024
AbbreviationJ OPTIMIZ THEORY APP / J. Optim. Theory Appl.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address233 SPRING ST, NEW YORK, NY 10013

Aims and Scopes

The JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS serves as a pivotal platform for disseminating cutting-edge research in optimization theory and its diverse applications. The journal emphasizes rigorous mathematical formulations, innovative methodologies, and practical applications across various domains, including engineering, economics, and operations research.
  1. Theoretical Foundations of Optimization:
    The journal focuses on the development of new theories and principles in optimization, including but not limited to convex optimization, non-convex optimization, and duality theory.
  2. Numerical Methods and Algorithms:
    Research on efficient numerical methods and algorithms for solving optimization problems is a significant area of interest. This includes gradient methods, interior-point methods, and proximal algorithms.
  3. Applications in Engineering and Economics:
    The journal publishes studies that apply optimization techniques to real-world problems in engineering, economics, and management, showcasing the practical utility of optimization theory.
  4. Stochastic and Robust Optimization:
    There is a strong emphasis on stochastic optimization and robust optimization methods, reflecting the need for solutions that can handle uncertainty and variability in data.
  5. Multi-objective Optimization:
    Research on multi-objective optimization, which involves optimizing multiple conflicting objectives, is a key focus area, highlighting the complexity and richness of real-world problems.
  6. Variational and Game Theory:
    The journal includes studies that explore variational inequalities, game theory, and their applications, contributing to the understanding of competitive and cooperative scenarios.
The journal's recent publications reveal several emerging themes that reflect current trends in optimization research. These themes indicate where the field is heading and the areas of increasing interest among researchers.
  1. Data-Driven Optimization:
    There is an increasing focus on data-driven optimization techniques that leverage machine learning and big data analytics to solve complex optimization problems.
  2. Dynamic and Adaptive Optimization:
    Research on dynamic optimization and adaptive methods is gaining traction, reflecting the need for solutions that can evolve with changing conditions.
  3. Applications in Artificial Intelligence and Machine Learning:
    The intersection of optimization with AI and machine learning is a rapidly growing area, with studies exploring optimization techniques for training models and improving algorithm efficiency.
  4. Hybrid Methods Combining Different Approaches:
    The trend towards hybrid optimization methods that combine various algorithmic strategies is emerging, as researchers seek to enhance performance and convergence rates.
  5. Sustainable and Green Optimization:
    There is a rising interest in optimization applications aimed at sustainability, particularly in resource allocation and environmental management, aligning with global sustainability goals.

Declining or Waning

While the JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS has maintained a robust focus on various aspects of optimization, certain themes have become less prominent in recent publications. This decline may reflect shifts in research interest or advancements in related fields.
  1. Classical Linear Programming Techniques:
    There has been a noticeable decline in publications centered on traditional linear programming techniques, suggesting a shift towards more complex and non-linear models.
  2. Static Optimization Models:
    Research focusing on static optimization models, which do not account for dynamic changes over time, appears to be waning, as dynamic and adaptive models gain prominence.
  3. Deterministic Optimization Approaches:
    Deterministic methods are seeing a decrease in focus, with a growing preference for stochastic and robust optimization methods that account for uncertainty.
  4. Basic Algorithmic Techniques:
    Fundamental algorithmic techniques that were once widely discussed are becoming less frequent, as researchers explore more advanced and hybrid approaches.
  5. Single-objective Optimization Problems:
    There is a decline in studies solely addressing single-objective optimization problems, indicating a trend towards multi-objective and more complex problem formulations.

Similar Journals

SIAM JOURNAL ON OPTIMIZATION

Championing high-quality research in optimization.
Publisher: SIAM PUBLICATIONSISSN: 1052-6234Frequency: 4 issues/year

SIAM Journal on Optimization is a prestigious academic journal published by SIAM Publications, dedicated to advancing the field of optimization within applied mathematics, theoretical computer science, and software. Since its inception in 1991, the journal has maintained a rigorous commitment to publishing high-quality research that drives innovation and application in optimization theory and methodology. With a significant impact factor and currently ranking in the Q1 quartile across various academic categories, the journal serves as an essential platform for researchers, professionals, and students aiming to contribute to this dynamic field. Although it does not currently offer open access, the journal's robust reputation and extensive reach make it an invaluable resource for those looking to stay at the forefront of optimization research. Based in Philadelphia, PA, this journal plays a crucial role in disseminating pivotal findings that enhance both theoretical understanding and practical applications of optimization in diverse domains.

Journal of Systems Science & Complexity

Exploring the Frontiers of Systems Science and Complexity.
Publisher: SPRINGER HEIDELBERGISSN: 1009-6124Frequency: 6 issues/year

The Journal of Systems Science & Complexity, published by SPRINGER HEIDELBERG, stands as a leading forum for innovative research in the fields of computer science and information systems. With an ISSN of 1009-6124 and an E-ISSN of 1559-7067, this journal has established itself within the academic community, garnering a commendable impact factor that reflects its influential contributions. Operating from 2006 and continuing through 2024, it is categorized in the Q2 quartile for both Computer Science (Miscellaneous) and Information Systems, indicating its quality and relevance. Recognized within Scopus rankings, it places 52nd out of 133 in its specific field, affirming its significance in advancing systems science discussions. Researchers and professionals will find a wealth of knowledge through rigorous peer-reviewed articles that explore complex systems and their applications, enabling readers to stay at the forefront of technological advancements and interdisciplinary collaboration.

Pacific Journal of Optimization

Navigating the Complexities of Optimization
Publisher: YOKOHAMA PUBLISSN: 1348-9151Frequency: 3 issues/year

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.

Communications in Mathematical Sciences

Pioneering Discoveries in Applied and Theoretical Mathematics
Publisher: INT PRESS BOSTON, INCISSN: 1539-6746Frequency: 4 issues/year

Communications in Mathematical Sciences is a prestigious journal published by INT PRESS BOSTON, INC, dedicated to advancing the field of mathematical sciences through the dissemination of high-quality research. Since its inception in 2003, the journal has established itself as a key platform for scholars in both applied and theoretical mathematics, evidenced by its impressive rankings, with a Q2 designation in Applied Mathematics and a Q1 status in Miscellaneous Mathematics categories as of 2023. Although not an open-access journal, it provides comprehensive access to groundbreaking studies that span a wide array of topics within mathematical sciences, making it invaluable for researchers, professionals, and students alike. The journal's strong performance metrics, including a Scopus rank that places it in the 64th and 38th percentiles for General and Applied Mathematics, respectively, highlight its influence and significance within the academic community. With an optimistic convergence towards future advancements by 2024, Communications in Mathematical Sciences continues to play a vital role in the growth and evolution of mathematical inquiry.

COMPUTERS & OPERATIONS RESEARCH

Pioneering Research for a Technologically Driven Future
Publisher: PERGAMON-ELSEVIER SCIENCE LTDISSN: 0305-0548Frequency: 12 issues/year

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.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Transforming Theory into Practice for Real-World Impact
Publisher: SPRINGERISSN: 0926-6003Frequency: 9 issues/year

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.

SIAM JOURNAL ON CONTROL AND OPTIMIZATION

Transforming Ideas into Effective Control Strategies
Publisher: SIAM PUBLICATIONSISSN: 0363-0129Frequency: 6 issues/year

SIAM Journal on Control and Optimization, published by SIAM Publications, is a premier academic journal dedicated to advancing the study and application of control theory and optimization techniques. Since its inception in 1969, this journal has provided a platform for groundbreaking research within the fields of applied mathematics, control systems, and optimization methodologies, ranking in the top quartile (Q1) in both disciplines as of 2023. With an impressive Scopus ranking of #139 in Applied Mathematics and #34 in Control and Optimization, it attracts high-quality submissions and reaches a broad audience of researchers, professionals, and students. The journal offers a mix of theoretical and practical insights, making it an essential resource for anyone looking to stay abreast of the latest developments in these rapidly evolving fields. With no open access option currently available, the journal ensures that the rigor and depth of its content are made available to educational institutions and organizations committed to academic excellence.

Set-Valued and Variational Analysis

Empowering Researchers with Open Access Mathematical Insights
Publisher: SPRINGERISSN: 1877-0533Frequency: 4 issues/year

Set-Valued and Variational Analysis is a distinguished journal published by SPRINGER, focusing on the intersection of mathematical analysis, applied mathematics, geometry and topology, numerical analysis, and statistics and probability. With an impressive impact factor reflecting its relevance and citation frequency in the academic community, this journal has consistently maintained a Q1 ranking in multiple categories as of 2023. Serving an international readership, it offers invaluable contributions to the theoretical and practical aspects of mathematics and supports the dissemination of cutting-edge research and methodology in the field. The journal operates on an open access model, ensuring that groundbreaking findings are readily accessible to researchers, professionals, and students alike. Since its inception in 2009, Set-Valued and Variational Analysis stands as a pivotal platform for advancing knowledge in diverse mathematical disciplines and fosters collaboration across various fields of study.

ENGINEERING OPTIMIZATION

Pioneering Innovations in Optimization Methodologies
Publisher: TAYLOR & FRANCIS LTDISSN: 0305-215XFrequency: 12 issues/year

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.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

Pioneering solutions for complex problems in analysis and optimization.
Publisher: TAYLOR & FRANCIS INCISSN: 0163-0563Frequency: 12 issues/year

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.