Optimization Letters

Aims & Scope

Optimization Letters is an international journal covering all aspects of optimization, including theory, algorithms, computational studies, and applications, and providing an outlet for rapid publication of short communications in the field.

Originality, significance, quality and clarity are the essential criteria for choosing the material to be published.

Optimization Letters has been expanding in all directions at an astonishing rate during the last few decades.

New algorithmic and theoretical techniques have been developed, the diffusion into other disciplines has proceeded at a rapid pace, and our knowledge of all aspects of the field has grown even more profound.

At the same time one of the most striking trends in optimization is the constantly increasing interdisciplinary nature of the field.

Optimization Letters aims to communicate in a timely fashion all recent developments in optimization with concise short articles (limited to a total of ten journal pages).

Such concise articles will be easily accessible by readers working in any aspects of optimization and wish to be informed of recent developments.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	1.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.660

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	8690

Journal Citation Indicator

Year	Value
2024	785

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Business, Management and Accounting and Mathematics, designed to support cutting-edge academic discovery.

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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.

• The vehicle routing problem with drones: several worst-case results

  Citation: 425

  Authors: Xingyin, Stefan, Bruce

• A generalized Newton method for absolute value equations

  Citation: 209

  Authors: O. L.

• TTT plots: a perl program to create time-to-target plots

  Citation: 173

  Authors: Renata M., Mauricio G. C., Celso C.

• A two-echelon stochastic facility location model for humanitarian relief logistics

  Citation: 167

  Authors: Alper, Necati, Gülay

• The sparsest solutions to Z-tensor complementarity problems

  Citation: 142

  Authors: Ziyan, Liqun, Naihua

• Modified inertial Mann algorithm and inertial CQ-algorithm for nonexpansive mappings

  Citation: 119

  Authors: Q. L., H. B., Y. J., Th. M.

• Absolute value equation solution via concave minimization

  Citation: 118

  Authors: O. L.

• Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems

  Citation: 117

  Authors: Gonglin

• ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems

  Citation: 112

  Authors: Fani, Christodoulos A.

• Mesh adaptive direct search algorithms for mixed variable optimization

  Citation: 104

  Authors: Mark A., Charles, James W., Jennifer G.

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