Pacific Journal of Optimization

Scope & Guideline

Empowering Research Through Optimization Insights

Introduction

Explore the comprehensive scope of Pacific Journal of Optimization through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Pacific Journal of Optimization in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1348-9151
PublisherYOKOHAMA PUBL
Support Open AccessNo
Country-
TypeJournal
Convergefrom 2008 to 2012 (coverage discontinued in Scopus)
AbbreviationPAC J OPTIM / Pac. J. Optim.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address101, 6-27 SATSUKIGAOKA AOBA-KU, YOKOHAMA 227-0053, JAPAN

Aims and Scopes

The Pacific Journal of Optimization focuses on advancing the field of optimization through innovative methodologies, theoretical insights, and practical applications. Its scope encompasses a wide range of optimization problems, particularly those involving advanced mathematical frameworks such as tensors and dual quaternion matrices.
  1. Optimization Theory and Algorithms:
    The journal emphasizes the development of new algorithms and theoretical frameworks for solving various optimization problems, including convex and non-convex optimization, variational inequalities, and complementarity problems.
  2. Applications of Optimization in Engineering and Data Science:
    There is a strong focus on applying optimization techniques to real-world problems, particularly in engineering disciplines, data analysis, and machine learning. This includes applications in control systems, image processing, and resource allocation.
  3. Advanced Mathematical Structures in Optimization:
    The journal explores optimization problems within complex mathematical structures such as tensors, quaternion matrices, and dual quaternion optimization, providing unique contributions to both theoretical and applied aspects of these areas.
  4. Statistical and Stochastic Optimization:
    Several papers focus on stochastic optimization methods and their applications, highlighting the journal's aim to address uncertainty in optimization problems through robust and adaptive strategies.
  5. Multi-objective Optimization:
    The journal features research on multi-objective optimization, exploring methods to simultaneously optimize multiple criteria, which is crucial in fields such as economics, engineering, and decision-making.
The Pacific Journal of Optimization has identified several emerging themes and trends that reflect the evolving landscape of optimization research. These areas are gaining traction and are likely to shape future studies.
  1. Quaternion and Tensor Optimization:
    Recent publications show a significant increase in research on quaternion and tensor optimization, indicating a growing interest in these advanced mathematical frameworks for solving complex problems across various disciplines.
  2. Data-Driven and Machine Learning Optimization:
    There is a notable trend towards integrating optimization techniques with machine learning, focusing on data-driven approaches that leverage large datasets for improved decision-making and predictive modeling.
  3. Robust and Adaptive Optimization Techniques:
    Research on robust optimization methods that account for uncertainties and variabilities in data is on the rise, reflecting a need for more resilient solutions in practical applications.
  4. Multi-criteria Decision Making:
    An increasing number of papers are addressing multi-objective optimization problems, indicating a shift towards more comprehensive decision-making frameworks that consider multiple conflicting objectives.
  5. Numerical Methods and Computational Efficiency:
    A trend towards enhancing computational efficiency through innovative numerical methods is evident, with researchers focusing on algorithms that reduce computational complexity while maintaining solution accuracy.

Declining or Waning

While the Pacific Journal of Optimization has a rich history of diverse topics, certain themes have shown a decline in prominence over recent years. This may reflect a shift in research interests or the maturation of specific areas within optimization.
  1. Classical Optimization Techniques:
    Traditional optimization methods, such as simple gradient descent or basic linear programming approaches, are appearing less frequently as the focus shifts towards more complex and specialized algorithms that handle non-convexity and high-dimensional data.
  2. Deterministic Optimization Models:
    There is a noticeable decrease in publications centered around deterministic models, as the community increasingly recognizes the importance of stochastic and adaptive methods in dealing with real-world uncertainties.
  3. Basic Statistical Methods:
    Research utilizing basic statistical methods in optimization, such as simple regression models, has waned, possibly due to the rise of more sophisticated data-driven approaches that integrate machine learning and advanced statistical techniques.

Similar Journals

Advances in Operations Research

Driving Performance with Cutting-Edge Research
Publisher: HINDAWI LTDISSN: 1687-9147Frequency: 1 issue/year

Advances in Operations Research, published by HINDAWI LTD, is a prominent peer-reviewed journal dedicated to the field of operations research, with a particular emphasis on innovative methodologies and applications that drive efficiency and performance across various industries. Established as an Open Access journal since 2009, it aims to provide unrestricted dissemination of research findings, thereby fostering accessibility and collaboration within the academic community. With an ISSN of 1687-9147 and E-ISSN of 1687-9155, the journal covers a broad spectrum of topics relevant to management science and operations research, and has been recognized for its contributions with a Q3 quartile ranking in its category for 2023. As of now, the journal is indexed in Scopus, ranking #131 out of 207 in the decision sciences category, placing it in the 36th percentile. The journal's commitment to advancing knowledge in operations research makes it an invaluable resource for researchers, professionals, and students seeking to explore cutting-edge theories and practices. For further insights and to access the latest research articles, please visit the journal’s website.

Numerical Algebra Control and Optimization

Empowering Mathematical Innovation Through Research
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: 2155-3289Frequency: 4 issues/year

Numerical Algebra Control and Optimization is a distinguished journal published by the American Institute of Mathematical Sciences (AIMS), dedicated to advancing the fields of algebra, applied mathematics, and optimization techniques. With an ISSN of 2155-3289 and E-ISSN 2155-3297, the journal provides a vital platform for researchers to disseminate significant findings and innovative methods in numerical analysis and its applications. Operating since 2011 and continuing to 2024, the journal holds a prominent position in the academic community, evidenced by its 2023 Quartile 3 ranking in categories such as Algebra and Number Theory, Applied Mathematics, and Control and Optimization. With robust Scopus rankings reflecting the journal's impact—93rd percentile in Algebra and Number Theory, 65th in Applied Mathematics, and 61st in Control and Optimization—it serves as a key resource for scholars striving to push the boundaries of mathematical research. While it remains a subscription-based journal, its commitment to scholarly excellence positions it as an essential reference for professionals, researchers, and students seeking to explore the intricate world of numerical algebra and optimization.

OPERATIONS RESEARCH LETTERS

Driving Strategic Innovations through Research Excellence
Publisher: ELSEVIERISSN: 0167-6377Frequency: 6 issues/year

Operations Research Letters, published by Elsevier, is a premier journal dedicated to fostering the development and dissemination of innovative research within the field of operations research. With an ISSN of 0167-6377 and an E-ISSN of 1872-7468, this journal has been a vital resource since its inception in 1981, and it continues to publish cutting-edge research through 2024. Positioned in the category quartiles Q2 and Q3 across relevant disciplines—including Applied Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, and Software—this journal provides a crucial platform for scholars and practitioners to explore theoretical advancements and practical applications. The journal is particularly significant for those engaged in the inter-disciplinary challenges of optimizing complex systems, highlighting its importance in driving forward both academic inquiry and industry practice. Researchers, professionals, and students can benefit from the insights presented in its pages, contributing to informed decision-making and strategic innovations in operations research.

ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH

Elevating Operational Research for Real-World Impact
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0217-5959Frequency: 6 issues/year

ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH is a premier academic publication dedicated to the dynamic fields of operational research and management science, published by WORLD SCIENTIFIC PUBL CO PTE LTD. Located in Singapore, this journal has been pivotal in contributing to the dialogue and development of innovative strategies and methodologies within the operational research community since its inception in 1991. With a focus on practical applications and theoretical advancements, it serves as an essential resource for researchers, practitioners, and students seeking to enhance their understanding and expertise in decision sciences. The journal has gained recognition with a Q3 ranking in Management Science and Operations Research in the 2023 category quartiles, underlining its significance in the academic landscape. The Scopus ranking positions it reasonably well, attracting contributions that address both contemporary and emerging challenges in the field. Although the journal operates under a traditional publishing model, it offers vital access to a wealth of high-quality research, making it a go-to source for key findings and methodologies in operational research. Through its rigorous peer-review process, the journal aims to foster collaborative efforts that advance knowledge and practice across the Asia-Pacific region and beyond.

Journal of the Operations Research Society of China

Fostering Interdisciplinary Insights for Real-World Impact.
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.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Leading the Charge in Theoretical and Practical Advancements
Publisher: SPRINGER/PLENUM PUBLISHERSISSN: 0022-3239Frequency: 12 issues/year

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.

Set-Valued and Variational Analysis

Exploring the Intersection of Theory and Application in Mathematics
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.

APPLIED MATHEMATICS AND OPTIMIZATION

Bridging Theory and Practice in Mathematical Sciences
Publisher: SPRINGERISSN: 0095-4616Frequency: 6 issues/year

Applied Mathematics and Optimization, published by Springer, is a prestigious journal dedicated to the rigorous exploration of applied mathematics, optimization techniques, and their multifaceted applications. Since its inception in 1974, the journal has maintained a robust reputation within the academic community, achieving a commendable Q1 ranking in both Applied Mathematics and Control and Optimization categories as of 2023. With an impact factor that underscores its influence in the field, the journal provides a platform for researchers and practitioners to disseminate innovative methodologies and significant advancements. While it does not offer Open Access, the journal’s esteemed peer-reviewed articles serve as invaluable resources for the advancement of theoretical knowledge and practical applications. Researchers, professionals, and students alike will find Applied Mathematics and Optimization an essential source for staying at the forefront of mathematical sciences, particularly in optimizing real-world systems and processes.

Optimization Letters

Exploring New Dimensions in Optimization Theory
Publisher: SPRINGER HEIDELBERGISSN: 1862-4472Frequency: 8 issues/year

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.

OPTIMIZATION

Catalyzing insights in operations research and optimization techniques.
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.