Pacific Journal of Optimization

Scope & Guideline

Exploring New Horizons in Decision-Making

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

JOURNAL OF COMPLEXITY

Transforming Complexity into Clarity
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 0885-064XFrequency: 6 issues/year

JOURNAL OF COMPLEXITY, published by Academic Press Inc. Elsevier Science, is a prestigious academic journal that has been at the forefront of advancements in the field of complexity science since its inception in 1985. With an ISSN of 0885-064X and an E-ISSN of 1090-2708, this journal is recognized for its impactful contributions across a range of mathematical disciplines, evidenced by its Q1 quartile rankings in Algebra and Number Theory, Applied Mathematics, Control and Optimization, Numerical Analysis, Statistics and Probability, and more. Positioned within the top echelons of Scopus rankings, it boasts notable standing—ranking #6 in Algebra and Number Theory and #25 in Numerical Analysis. Researchers, professionals, and students will find the journal's rigorously peer-reviewed articles invaluable for exploring the intricate relationships and phenomena that characterize complex systems. Although not an open-access journal, the insights offered are essential for expanding knowledge in mathematical frameworks and their applications in real-world problems. With a converged publication timeline extending to 2025, the journal is poised to continue shaping the discourse in complexity studies for years to come.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Empowering Researchers with Cutting-Edge Optimization Insights
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.

EURO Journal on Computational Optimization

Advancing the Frontiers of Computational Optimization
Publisher: ELSEVIERISSN: 2192-4406Frequency: 4 issues/year

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.

JOURNAL OF CONVEX ANALYSIS

Pioneering Insights for Optimization and Beyond.
Publisher: HELDERMANN VERLAGISSN: 0944-6532Frequency: 4 issues/year

The JOURNAL OF CONVEX ANALYSIS, published by HELDERMANN VERLAG in Germany, stands as a pivotal platform for advancing the field of convex analysis, an area critical to various applications in optimization, economics, and mathematical programming. With an ISSN of 0944-6532 and a consistent publication record from 1996 to 1999 and 2001 to 2024, this journal is indexed in Scopus where it holds a rank of #213 in General Mathematics and #130 in Analysis, reflecting its growing impact and relevance within the mathematical community. This journal predominantly serves as an interdisciplinary resource, fostering collaboration among researchers and practitioners to explore innovative methodologies and applications related to convex structures. Although currently not open access, it provides ample opportunities for knowledge dissemination crucial for students and professionals aiming to deepen their understanding and engagement with core mathematical concepts. With its reputable Quartile rankings in both Analysis (Q3) and broader Mathematics (Q2), the JOURNAL OF CONVEX ANALYSIS continues to attract high-quality manuscripts that push the boundaries of this essential mathematical domain.

Numerical Algebra Control and Optimization

Exploring New Dimensions of Algebra and Control
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.

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.

COMPUTERS & OPERATIONS RESEARCH

Exploring Innovative Solutions in Operations Research and Computer Science
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.

Set-Valued and Variational Analysis

Unlocking the Potential of Set-Valued and Variational Analysis
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.

RAIRO-OPERATIONS RESEARCH

Pioneering impactful studies in operations research and computer science.
Publisher: EDP SCIENCES S AISSN: 0399-0559Frequency: 1 issue/year

RAIRO-Operations Research is a distinguished journal published by EDP Sciences S A, focusing on the intricate fields of operations research, management science, and computer science applications. Established in 1977, this French-based journal encompasses a rich legacy of contributing to theoretical advancements and practical applications that equip researchers, professionals, and students with the insights necessary to navigate complex decision-making environments. With a notable Scopus ranking in various categories, including a Q3 position in Computer Science Applications, Management Science and Operations Research, and Theoretical Computer Science, the journal aims to foster innovation and share impactful research findings. As an insightful platform, RAIRO-Operations Research is essential for those seeking to deepen their understanding and enhance their expertise in operational methodologies, while also offering a range of access options for its wide readership. Delve into the journal to explore transformative research that pushes the boundaries of operations research.

OPERATIONS RESEARCH LETTERS

Unveiling the Future of Operations Research
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.