Journal of Global Optimization
Published by Springer Nature
ISSN : 0925-5001 eISSN : 1573-2916
Abbreviation : J. Glob. Optim.
Aims & Scope
The Journal of Global Optimization publishes carefully refereed papers that encompass theoretical, computational, and applied aspects of global optimization.
While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including nonlinear, mixed integer, combinatorial, stochastic, robust, multi-objective optimization, computational geometry, and equilibrium problems.
Relevant works on data-driven methods and optimization-based data mining are of special interest.
In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, management, and the sciences.
Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, and finance.
Apart from full-length articles, the journal features short communications on both open and solved global optimization problems.
It also offers reviews of relevant books and publishes special issues.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.7 |
2024 | 1.30 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.807 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 102 |
Journal Rank
Year | Value |
---|---|
2024 | 6706 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 819 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting, Computer Science, Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
Citation: 22717
Authors: Rainer, Kenneth
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A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Citation: 6077
Authors: Dervis, Bahriye
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Efficient Global Optimization of Expensive Black-Box Functions
Citation: 6027
Authors: Donald R., Matthias, William J.
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A Taxonomy of Global Optimization Methods Based on Response Surfaces
Citation: 1635
Authors: Donald R.
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Derivative-free optimization: a review of algorithms and comparison of software implementations
Citation: 891
Authors: Luis Miguel, Nikolaos V.
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An Electromagnetism-like Mechanism for Global Optimization
Citation: 593
Authors: Ş İlker, Shu-Chering
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A sequential parametric convex approximation method with applications to nonconvex truss topology design problems
Citation: 482
Authors: Amir, Aharon, Luba