Pacific Journal of Optimization

Scope & Guideline

Shaping the Future of Operations Research

Introduction

Welcome to your portal for understanding Pacific Journal of Optimization, 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
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

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.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Transforming Ideas into Actionable Optimization Strategies
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.

INFORMS JOURNAL ON COMPUTING

Fostering Collaboration in Computing and Beyond
Publisher: INFORMSISSN: 1091-9856Frequency: 4 issues/year

INFORMS JOURNAL ON COMPUTING, published by INFORMS, stands as a quintessential platform for disseminating cutting-edge research and innovative methodologies in the realms of computing, information systems, and operations research. Since its inception in 1996, this journal has consistently maintained a prestigious Q1 quartile ranking across multiple categories, including Computer Science Applications, Information Systems, and Management Science and Operations Research, reflecting its significant impact and relevance in the academic community. The journal serves as a vital resource for researchers, professionals, and students alike, fostering interdisciplinary dialogue and the advancement of theoretical and practical contributions in computing. With no open access restrictions, it remains accessible to those engaged in the pursuit of knowledge and innovation in a rapidly evolving field. Housed in the United States, the journal continues to thrive, enriching the discourse in technology and its applications until 2024 and beyond.

JOURNAL OF CONVEX ANALYSIS

Empowering Research in Convex Analysis.
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.

SIAM JOURNAL ON OPTIMIZATION

Connecting theory with application 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.

OPERATIONS RESEARCH LETTERS

Innovating Solutions for Complex Systems
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

Advancing Operational Excellence in the Asia-Pacific Region
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.

Opsearch

Exploring New Frontiers in Information Systems
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.

Optimization Letters

Connecting Theory with Practical Applications in Optimization
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.

JOURNAL OF GLOBAL OPTIMIZATION

Unraveling the Depths of Applied Optimization
Publisher: SPRINGERISSN: 0925-5001Frequency: 12 issues/year

JOURNAL OF GLOBAL OPTIMIZATION, published by Springer, is a premier academic journal dedicated to the intricate and multidisciplinary fields of optimization theory and its applications. Established in 1991 and continuing to publish until 2024, this journal has solidified its reputation as an essential resource for researchers and practitioners in Applied Mathematics, Business Management, and Computer Science, amongst others, securing respectable Q2 Quartile rankings across various categories including Control and Optimization and Management Science. With recognized contributions reflected in its Scopus rankings — such as being positioned in the 72nd percentile for Applied Mathematics — the Journal of Global Optimization is committed to disseminating rigorous research that advances both theoretical foundations and practical implementations. Although it does not currently offer Open Access options, the journal amplifies insights into optimization challenges in a global context, making it indispensable for those striving to push the boundaries of knowledge in this dynamic domain.