JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Scope & Guideline

Exploring New Dimensions in Applied Mathematics

Introduction

Welcome to the JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
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 CONTROL AND OPTIMIZATION

Advancing the Frontiers of Control and Optimization
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.

COMPUTERS & OPERATIONS RESEARCH

Unleashing the Potential of Computational Techniques in Operations
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.

International Journal of Optimization and Control-Theories & Applications-IJOCTA

Connecting Scholars to the Future of Applied Mathematics.
Publisher: RAMAZAN YAMANISSN: 2146-0957Frequency: 4 issues/year

International Journal of Optimization and Control-Theories & Applications (IJOCTA), published by Ramazan Yaman, stands as a pivotal platform in the fields of applied mathematics and control optimization. With an ISSN of 2146-0957 and an E-ISSN of 2146-5703, IJOCTA has embraced an Open Access model since 2011, ensuring that its scholarly contributions are widely accessible to researchers, professionals, and students alike. Based in Turkey at the Istanbul Atlas University, the journal is committed to advancing the scope of optimization and control theories, featuring comprehensive studies that bridge theoretical foundations with practical applications. Despite its relatively recent surge, IJOCTA has achieved impressive standings, including a Q3 quartile ranking in both Applied Mathematics and Control and Optimization for 2023, alongside commendable Scopus rankings (Rank #192 in Applied Mathematics and Rank #44 in Control and Optimization). These metrics underscore the journal’s growing significance and impact within the global research community, making it an invaluable resource for those seeking to explore contemporary developments in optimization and control.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Exploring the Intersection of Theory and Application
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.

Minimax Theory and its Applications

Fostering Innovation in Control and Optimization
Publisher: HELDERMANN VERLAGISSN: 2199-1413Frequency: 2 issues/year

Minimax Theory and its Applications is an esteemed academic journal published by HELDERMANN VERLAG, focusing on the intricate domains of mathematics, particularly in the fields of analysis, computational mathematics, and control and optimization. With its ISSN 2199-1413 and E-ISSN 2199-1421, the journal has established a reputable platform for disseminating high-quality research that engages with minimax principles and their multifaceted applications in contemporary mathematical challenges. The journal has made significant strides since its inception in 2016, currently ranked Q3 in several relevant categories as of 2023. These rankings underscore its growing contribution to the academic community, attracting researchers and professionals seeking to expand their knowledge and application of minimax theory. Although it does not currently provide open access options, the rigorous peer-review process ensures that the included works meet the highest scholarly standards, bolstering the journal's overall impact within the field. Based in Germany, the journal continues to foster international discourse and collaboration among mathematicians and applied theorists alike.

Communications in Mathematical Sciences

Illuminating the Path of Mathematical Advancement
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.

Journal of the Operations Research Society of China

Bridging Theory and Practice in Decision Sciences.
Publisher: SPRINGER HEIDELBERGISSN: 2194-668XFrequency: 4 issues/year

Journal of the Operations Research Society of China, published by SPRINGER HEIDELBERG, stands as a pivotal platform for advancing the fields of Operations Research, Applied Mathematics, and Decision Sciences. With an ISSN of 2194-668X and an E-ISSN of 2194-6698, this journal not only serves as a conduit for innovative research from 2013 to 2024 but also maintains a commendable Q2 ranking in Applied Mathematics and Mathematics (miscellaneous), reflecting its impact and relevance in the academic community. Situated in the United States, the journal fosters an interdisciplinary approach, inviting researchers, practitioners, and students to engage with cutting-edge findings and methodologies. Although currently not an Open Access journal, it offers a wealth of knowledge that empowers professionals in management science and operations research, as evidenced by its rankings—53rd out of 399 in general mathematics and 194th out of 635 in applied mathematics. This positioning highlights the journal's commitment to quality, contributing significantly to the body of knowledge in these dynamic fields.

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.

OPTIMIZATION

Elevating knowledge in control and optimization for real-world impact.
Publisher: TAYLOR & FRANCIS LTDISSN: 0233-1934Frequency: 12 issues/year

OPTIMIZATION is a distinguished scholarly journal published by TAYLOR & FRANCIS LTD, catering to the vibrant fields of Applied Mathematics, Control and Optimization, and Management Science and Operations Research. With an ISSN of 0233-1934 and an E-ISSN of 1029-4945, this journal serves as a crucial platform for researchers, practitioners, and students alike, presenting cutting-edge research and innovative methodologies since its inception in 1985. With its current standing in the Q2 category across multiple fields as of 2023, OPTIMIZATION underscores its impact and relevance in the academic community, attracting high-quality contributions and fostering knowledge dissemination. Though it operates under a traditional access model, the journal ensures that its rigorous peer-reviewed content remains accessible to a wide audience, reflecting the latest advancements in optimization techniques and their applications in real-world scenarios. Whether you’re looking to deepen your understanding of optimization principles or apply these insights within your own research, OPTIMIZATION is an essential resource for advancing your knowledge and expertise in this dynamic field.

Applications of Mathematics

Transforming Ideas into Mathematical Solutions
Publisher: SPRINGERNATUREISSN: 0862-7940Frequency: 6 issues/year

Applications of Mathematics, published by SpringerNature, is a respected journal based in the Netherlands that provides a platform for innovative research in the field of applied mathematics. Since its inception in 1997 and with a convergence ongoing until 2024, the journal supports the dissemination of high-quality scholarship, although it currently holds a Q4 category ranking in the applied mathematics category, which reflects its niche importance in the academic community. Researchers and professionals in the field can access a diverse array of applied mathematical techniques and their practical applications, contributing to advancements across various disciplines. While the journal does not operate under an open access model, it is indexed and ranked in Scopus, where it holds a rank of 419 out of 635, placing it in the 34th percentile. This underscores its value and relevance in the global research landscape.