OPTIMIZATION

Scope & Guideline

Advancing the frontiers of optimization research.

Introduction

Welcome to the 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 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
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

OPTIMIZATION METHODS & SOFTWARE

Advancing the Frontiers of Optimization and Software Development
Publisher: TAYLOR & FRANCIS LTDISSN: 1055-6788Frequency: 6 issues/year

OPTIMIZATION METHODS & SOFTWARE, published by Taylor & Francis Ltd in the United Kingdom, is a premier journal dedicated to the field of optimization and software development. With an impressive impact factor, this journal maintains a critical role in advancing research in applied mathematics, control, and optimization, as evident from its categorization in the prestigious Q1 quartile for both applied mathematics and control and optimization, and Q2 in software for the year 2023. Over its publication span from 1992 to 2024, it has garnered significant recognition, ranking #116 out of 635 in applied mathematics and #29 out of 130 in control and optimization according to Scopus. The journal provides a platform for innovative research outcomes, theoretical advancements, and novel algorithms that aid researchers, professionals, and students in tackling complex optimization problems. Whether you are looking to disseminate your latest findings or explore cutting-edge methodologies, OPTIMIZATION METHODS & SOFTWARE remains an invaluable resource in the field.

JOURNAL OF GLOBAL OPTIMIZATION

Connecting Theory and Practice in Global 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.

DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE

Unlocking the Potential of Mathematics in the Digital Age
Publisher: DISCRETE MATHEMATICS THEORETICAL COMPUTER SCIENCEISSN: 1462-7264Frequency: 4 issues/year

DISCRETE MATHEMATICS AND THEORETICAL COMPUTER SCIENCE, published by DISCRETE MATHEMATICS THEORETICAL COMPUTER SCIENCE in France, stands as a significant open-access journal since 1997, publishing innovative research articles within the intersecting disciplines of discrete mathematics and theoretical computer science. With an ISSN of 1462-7264 and an E-ISSN of 1365-8050, this journal aims to provide a platform for scholarly discourse and dissemination of knowledge, making it accessible to a global audience. It is recognized for its contributions, achieving a Q2 ranking in both Computer Science (Miscellaneous) and Discrete Mathematics and Combinatorics, alongside a Q3 ranking in Theoretical Computer Science as of 2023. The journal’s rigorous selection process ensures that only high-quality research is published, promoting advancements in these critical areas of study. Researchers, professionals, and students alike can benefit from its comprehensive articles that not only enhance theoretical understanding but also foster practical applications in the ever-evolving landscape of computer science.

Fuzzy Optimization and Decision Making

Innovating Solutions in Artificial Intelligence and Optimization
Publisher: SPRINGERISSN: 1568-4539Frequency: 4 issues/year

Fuzzy Optimization and Decision Making, published by Springer, is a prestigious academic journal that has made significant contributions to the fields of Artificial Intelligence, Logic, and Software. With an impressive impact factor and a consistent ranking in the top Q1 quartile across its categories, this journal stands at the forefront of research dissemination in its domain. Established in 2002 and continuing through 2024, the journal focuses on the theoretical and practical aspects of fuzzy optimization methods and their applications in decision-making scenarios. The journal is highly regarded for its rigorous peer-review process and aims to present innovative research findings that inspire advancements in optimization techniques using fuzzy logic. Aimed at researchers, professionals, and students alike, Fuzzy Optimization and Decision Making serves as an essential resource for those looking to stay at the cutting edge of technology and methodology in mathematics and computer science.

NETWORKS

Illuminating the Pathways of Information Systems
Publisher: WILEYISSN: 0028-3045Frequency: 8 issues/year

NETWORKS, an esteemed journal published by Wiley, serves as a premier platform for the dissemination of high-quality research in the fields of computer networks, communications, hardware architecture, and information systems. With an ISSN of 0028-3045 and an E-ISSN of 1097-0037, the journal has been at the forefront of networking studies since its inception in 1971 and continues to thrive, boasting a convergence period that extends into 2024. Recognized for its rigorous peer-review process, NETWORKS is placed in the Q1 and Q2 quartiles of various categories, underscoring its significant impact and relevance in the realm of computer science. Although there is no open access option currently available, the journal remains a vital resource for researchers, professionals, and students who seek to navigate the evolving landscapes of technology and innovation. With its robust Scopus rankings and a growing readership, NETWORKS is dedicated to fostering advancements in network theory and practice, making it an essential read for those at the cutting edge of this dynamic field.

Pacific Journal of Optimization

Fostering Excellence in Optimization Research
Publisher: YOKOHAMA PUBLISSN: 1348-9151Frequency: 3 issues/year

Pacific Journal of Optimization, published by YOKOHAMA PUBL, is a premier academic journal dedicated to the field of optimization, focusing on both theoretical developments and practical applications. With its ISSN 1348-9151, this journal provides a vital platform for researchers, professionals, and students to disseminate their innovative findings and to stay abreast of emerging trends in optimization. Although the journal’s coverage in Scopus was discontinued in 2012, it remains a significant resource for academics seeking to deepen their understanding of optimization methodologies across various disciplines. The journal promotes an enriching exchange of ideas, fostering advancements that are essential in the evolving landscape of operations research and decision-making processes. While it currently does not operate under an Open Access model, its content is pivotal for those aiming to contribute to and learn from cutting-edge research in optimization.

ENGINEERING OPTIMIZATION

Transforming Ideas into Engineering Solutions
Publisher: TAYLOR & FRANCIS LTDISSN: 0305-215XFrequency: 12 issues/year

ENGINEERING OPTIMIZATION is a premier academic journal published by Taylor & Francis Ltd that has been at the forefront of the fields of Applied Mathematics, Computer Science Applications, Control and Optimization, Industrial and Manufacturing Engineering, and Management Science and Operations Research since its inception in 1974. With an impressive convergence period extending through 2024 and categorized in the Q2 quartile across various relevant disciplines, this journal is well-regarded for its rigorous peer-reviewed articles that address the latest advancements in optimization methodologies and their applications across industries. With current Scopus rankings placing it in the top percentiles for Applied Mathematics and Control and Optimization, ENGINEERING OPTIMIZATION serves as a vital resource for researchers, professionals, and students alike, dedicated to pushing the boundaries of knowledge and innovation in engineering and related fields. This journal does not offer Open Access; however, it remains accessible through institutional subscriptions and university libraries.

Journal of Industrial and Management Optimization

Driving Excellence through Research and Collaboration
Publisher: AMER INST MATHEMATICAL SCIENCES-AIMSISSN: 1547-5816Frequency: 12 issues/year

The Journal of Industrial and Management Optimization is a distinguished publication dedicated to advancing the fields of applied mathematics, business management, and operational strategies. Published by the American Institute of Mathematical Sciences (AIMS), this journal serves as a crucial platform for disseminating innovative research and methodologies from 2007 to 2024. With an impact factor reflective of its robust academic contributions, it occupies a prominent position in the Q3 quartile across multiple categories including Applied Mathematics, Control and Optimization, and Business International Management, making it a valuable resource for researchers, professionals, and students seeking to enhance their knowledge and expertise in these areas. The journal facilitates access to a diverse range of studies aimed at solving real-world industrial challenges through the lens of mathematical optimization and strategy management. By fostering collaboration and dialogue among its readership, the Journal of Industrial and Management Optimization plays a pivotal role in shaping the future of industrial applications and management solutions.

Numerical Algebra Control and Optimization

Transforming Theoretical Concepts into Practical Solutions
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.

Genetic Programming and Evolvable Machines

Shaping Tomorrow's AI through Evolutionary Insights
Publisher: SPRINGERISSN: 1389-2576Frequency: 4 issues/year

Genetic Programming and Evolvable Machines, published by SPRINGER, is a leading journal dedicated to the fields of genetic algorithms, evolutionary computation, and machine learning. With an ISSN of 1389-2576 and an E-ISSN of 1573-7632, this esteemed journal encompasses original research articles, reviews, and applications that explore the intricate relationships between intelligent systems and evolutionary processes. As of 2023, it holds a notable Q2 ranking in various categories including Computer Science Applications and Hardware and Architecture, reflecting its significant impact in advancing knowledge and methodologies within these domains. The journal's metrics, including a top rank of #31/130 in Theoretical Computer Science, signify its relevance and contribution to the broader academic community. Though not open access, papers published in the journal continue to serve as critical resources for both researchers and practitioners, promoting innovative methodologies and solutions. Covering a broad scope with a convergence extending from 2003 to 2024, this journal remains a pivotal platform for sharing cutting-edge research that shapes the future of artificial intelligence and computational theory.