Pacific Journal of Optimization

Scope & Guideline

Catalyzing Ideas in Optimization Methodologies

Introduction

Welcome to the Pacific Journal of Optimization 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 Pacific Journal of Optimization, 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
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 the Operations Research Society of China

Elevating Knowledge in Operations Research and Beyond.
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.

Advances in Operations Research

Pioneering New Frontiers in Efficiency
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.

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.

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Navigating the Future of Applied Mathematics and Optimization
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.

International Journal of Computing Science and Mathematics

Pioneering the Fusion of Computing and Mathematics
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1752-5055Frequency: 6 issues/year

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

Opsearch

Innovating Research for Tomorrow's Challenges
Publisher: SPRINGER INDIAISSN: 0030-3887Frequency: 4 issues/year

Opsearch is a distinguished journal published by Springer India that serves as a vital platform for researchers, professionals, and students in the dynamic fields of Computer Science Applications, Information Systems, Management Information Systems, and Management Science and Operations Research. Since its inception in 2009, it has been dedicated to disseminating innovative research findings and practical applications that contribute meaningfully to the evolution of these disciplines. With its notable positioning in the Q2 and Q3 quartiles in various categories, Opsearch boasts a robust reputation with Scopus rankings placing it competitively within the fields it represents. While currently not an Open Access publication, the journal is committed to ensuring that the research it publishes is accessible to an extensive audience through libraries and institutional subscriptions. The journal's overarching objective is to foster knowledge exchange and interdisciplinary collaboration, making it an indispensable resource for advancing theoretical and operational research.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

Empowering researchers with cutting-edge methodologies in applied mathematics.
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.

COMPUTERS & OPERATIONS RESEARCH

Advancing Knowledge at the Intersection of Technology and 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.

JOURNAL OF COMPLEXITY

Pioneering Insights into Complex Phenomena
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.

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.