OPTIMIZATION

Scope & Guideline

Fostering excellence in the study of optimization since 1985.

Introduction

Immerse yourself in the scholarly insights of OPTIMIZATION with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0233-1934
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1985 to 2024
AbbreviationOPTIMIZATION / Optimization
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'OPTIMIZATION' focuses on the development and application of optimization techniques across a wide array of disciplines, emphasizing theoretical insights and practical algorithms. It encompasses both classical optimization methods and novel approaches, addressing complex problems in various contexts.
  1. Diverse Optimization Techniques:
    The journal covers a broad spectrum of optimization techniques, including linear, nonlinear, convex, nonconvex, and integer programming, as well as advanced methods such as bilevel and multi-objective optimization.
  2. Algorithm Development:
    A significant focus is placed on the development of new algorithms for solving optimization problems, including iterative methods, proximal algorithms, and hybrid techniques that combine various approaches for improved efficiency.
  3. Applications Across Disciplines:
    The journal features applications of optimization in fields such as finance, engineering, machine learning, and operations research, demonstrating the versatility of optimization methodologies in addressing real-world challenges.
  4. Theoretical Contributions:
    Theoretical advancements in optimization, such as optimality conditions, duality theory, and convergence analysis, are essential components of the journal, contributing to the foundational understanding of optimization problems.
  5. Stochastic and Robust Optimization:
    There is a growing emphasis on stochastic and robust optimization techniques, reflecting the need to address uncertainty and variability in optimization models, particularly in complex systems.
The journal 'OPTIMIZATION' is witnessing emerging themes that reflect current trends and advancements in the field. This section outlines these trending topics that are gaining traction in recent publications.
  1. Machine Learning Optimization:
    There is a significant increase in research focusing on optimization techniques applied to machine learning, particularly in areas like hyperparameter tuning and model training, highlighting the intersection of optimization and data science.
  2. Robust and Stochastic Optimization:
    Emerging themes around robust optimization methods and stochastic programming are gaining momentum, driven by the need to tackle uncertainties in various applications, from finance to engineering.
  3. Bilevel and Multi-Objective Optimization:
    The exploration of bilevel and multi-objective optimization problems is on the rise, reflecting the complexity of real-world decision-making scenarios that require balancing multiple conflicting objectives.
  4. Applications in Health and Environmental Sciences:
    There is a growing trend of applying optimization methodologies to health-related issues and environmental sustainability, emphasizing the role of optimization in addressing global challenges.
  5. Advanced Algorithmic Frameworks:
    Recent publications show a trend towards developing advanced algorithmic frameworks, such as hybrid methods that integrate different optimization strategies to enhance performance and convergence rates.

Declining or Waning

While 'OPTIMIZATION' continues to thrive in various areas, certain themes appear to be waning in prominence. This section highlights these declining areas, indicating shifts in focus within the journal's scope.
  1. Classical Optimization Models:
    The frequency of publications focusing solely on classical optimization models, such as basic linear programming without advanced methodologies, has decreased, suggesting a shift towards more complex and nuanced optimization problems.
  2. Purely Theoretical Works:
    There appears to be a declining interest in purely theoretical papers that do not connect to practical applications. The trend indicates a preference for research that demonstrates real-world relevance or algorithmic implementation.
  3. Single-Objective Optimization:
    Research dedicated exclusively to single-objective optimization problems is becoming less common, as the journal increasingly prioritizes multi-objective and complex optimization frameworks that better reflect contemporary challenges.
  4. Basic Algorithmic Studies:
    Studies that solely focus on basic algorithmic techniques without exploring enhancements, applications, or comparative analyses are seeing reduced publication rates, indicating a move towards more sophisticated algorithmic contributions.

Similar Journals

COMPUTATIONAL & APPLIED MATHEMATICS

Exploring the Intersection of Theory and Application
Publisher: SPRINGER HEIDELBERGISSN: 2238-3603Frequency: 1 issue/year

COMPUTATIONAL & APPLIED MATHEMATICS, published by SPRINGER HEIDELBERG, serves as a premier platform for the dissemination of high-quality research and advancements in the fields of applied and computational mathematics. With an esteemed reputation bolstered by a Q2 ranking in both Applied Mathematics and Computational Mathematics categories, this journal delivers invaluable insights that cater to the scholarly community, including researchers, professionals, and students. It features rigorous peer-reviewed articles that cover a wide array of mathematical models, numerical algorithms, and their applications across various scientific and engineering domains. The journal has been in circulation since 2003 and remains relevant through its commitment to publishing cutting-edge research until 2024. Though not open access, its impact within the academic landscape is significant, with Scopus rankings placing it in the top quartiles of its fields. Whether you are seeking to stay updated on the latest findings or contribute your own work, COMPUTATIONAL & APPLIED MATHEMATICS is an essential resource for those committed to the advancement of mathematical sciences.

INFORMS JOURNAL ON COMPUTING

Pioneering Insights in Operations Research
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 Optimization

Bridging Theory and Application in Optimization
Publisher: HINDAWI LTDISSN: 2356-752XFrequency: 1 issue/year

Journal of Optimization, published by HINDAWI LTD, is a pivotal resource in the field of optimization research, with a focus on analysis, control, and decision sciences. Launched in 2013 as an Open Access journal, it has made substantial contributions to the dissemination of knowledge by providing researchers and practitioners in the United Kingdom and beyond with unrestricted access to the latest findings. With an ISSN of 2356-752X and an E-ISSN of 2314-6486, the journal encompasses a wide range of topics related to optimization methodologies and applications. Although currently listed in the Q4 category across several related fields for 2023, the journal aims to encourage high-quality research and foster collaboration among scholars, making it an essential platform for both emerging and established researchers. Based in London, the Journal of Optimization continues to thrive in a rapidly evolving academic landscape, providing crucial insights into the optimization challenges of today.

Energy Systems-Optimization Modeling Simulation and Economic Aspects

Unlocking the Potential of Energy Systems Through Simulation Excellence.
Publisher: SPRINGER HEIDELBERGISSN: 1868-3967Frequency: 4 issues/year

Energy Systems: Optimization Modeling Simulation and Economic Aspects is a premier journal published by SPRINGER HEIDELBERG, focusing on the intersection of energy systems, economic modeling, and simulation techniques. With an ISSN of 1868-3967 and an E-ISSN of 1868-3975, this journal caters to a diverse audience, including researchers, professionals, and students seeking to deepen their knowledge in the rapidly evolving field of energy economics and systems optimization. The journal holds an esteemed position in the academic community, with impressive Scopus rankings that place it in the top quartile for Economics and Econometrics, as well as Modeling and Simulation. The Q2 and Q3 quartile categorizations underscore its impact and relevance within these disciplines. Covering topics from algorithmic modeling to economic analysis in energy systems, the journal serves as a critical resource for those aiming to advance sustainable energy practices and policies. As of 2023, the journal continues to innovate and publish high-quality research, having opened its contributions from 2010 to 2024, thus maintaining a rich archive of knowledge for impactful energy solutions.

Discrete Optimization

Fostering Collaboration in the World of Optimization
Publisher: ELSEVIERISSN: 1572-5286Frequency: 4 issues/year

Discrete Optimization is a leading academic journal published by Elsevier, focusing on the pivotal field of discrete optimization, which plays a crucial role in various domains including applied mathematics, computational theory, and theoretical computer science. With its ISSN 1572-5286 and E-ISSN 1873-636X, the journal offers a platform for researchers to disseminate their findings and contribute to the advancement of knowledge in discrete methodologies and algorithmic strategies. Discrete Optimization has demonstrated a steady path of progress, recognized in 2023 with a Q3 quartile ranking across applied mathematics, computational theory, and theoretical computer science categories, indicating it is a respected journal within these competitive fields. Although currently a subscription-based journal, it continues to inspire innovative research and offers valuable insights for researchers, professionals, and students alike. The journal serves as an essential resource for those seeking to deepen their understanding and application of optimization techniques, contributing to the ongoing evolution of the discipline.

Optimization Letters

Innovating Solutions for Complex Challenges
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.

Numerical Algebra Control and Optimization

Advancing the Frontiers of Numerical Analysis and Optimization
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.

EURO Journal on Computational Optimization

Pioneering Research in Computational Mathematics and Beyond
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.

CONSTRAINTS

Exploring the Boundaries of Knowledge in AI and Mathematics
Publisher: SPRINGERISSN: 1383-7133Frequency: 4 issues/year

CONSTRAINTS, an esteemed journal published by Springer, specializes in the interrelated domains of Artificial Intelligence, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, and Software. With an ISSN of 1383-7133 and E-ISSN of 1572-9354, this journal provides a critical platform for disseminating cutting-edge research and methodologies aimed at addressing complex challenges in these rapidly evolving fields. Located in the Netherlands, the journal's rigorous selection process is reflected in its impressive categorizations, achieving Q2 and Q3 rankings in various Scopus categories for 2023. This positions it among the top quartiles in its respective fields, making it a vital resource for scholars and practitioners seeking to stay at the forefront of innovation. Researchers and students alike will benefit from the insightful contributions within its pages, making CONSTRAINTS a pivotal journal for those dedicated to advancing knowledge and application in computational and artificial intelligence spheres.

JOURNAL OF GLOBAL OPTIMIZATION

Driving Innovation in Optimization Theory and Applications
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.