Computational Optimization and Applications

Aims & Scope

Computational Optimization and Applications is a peer reviewed journal that is committed to timely publication of research and tutorial papers on the analysis and development of computational algorithms and modeling technology for optimization.

Algorithms either for general classes of optimization problems or for more specific applied problems are of interest.

Stochastic algorithms as well as deterministic algorithms will be considered.

Papers that can provide both theoretical analysis, along with carefully designed computational experiments, are particularly welcome.

Topics of interest include, but are not limited to the following: Large Scale Optimization, Unconstrained Optimization, Linear Programming, Quadratic Programming Complementarity Problems, and Variational Inequalities, Constrained Optimization, Nondifferentiable Optimization, Integer Programming, Combinatorial Optimization, Stochastic Optimization, Multiobjective Optimization, Network Optimization, Complexity Theory, Approximations and Error Analysis, Parametric Programming and Sensitivity Analysis, Parallel Computing, Distributed Computing, and Vector Processing, Software, Benchmarks, Numerical Experimentation and Comparisons, Modelling Languages and Systems for Optimization, Automatic Differentiation, Applications in Engineering, Finance, Optimal Control, Optimal Design, Operations Research, Transportation, Economics, Communications, Manufacturing, and Management Science.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	1.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.952

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	91

Journal Rank

Year	Value
2024	5243

Journal Citation Indicator

Year	Value
2024	594

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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 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.

• Implementing the Nelder-Mead simplex algorithm with adaptive parameters

  Citation: 821

  Authors: Fuchang, Lixing

• Scenario Reduction Algorithms in Stochastic Programming

  Citation: 779

  Authors: Holger, Werner

• An efficient augmented Lagrangian method with applications to total variation minimization

  Citation: 554

  Authors: Chengbo, Wotao, Hong, Yin

• A Survey of Optimization by Building and Using Probabilistic Models

  Citation: 455

  Authors: Martin, David E., Fernando G.

• SSVM: A Smooth Support Vector Machine for Classification

  Citation: 400

  Authors: Yuh-Jye, O.L.

• A Variational Discretization Concept in Control Constrained Optimization: The Linear-Quadratic Case

  Citation: 390

  Authors: M.

• A class of smoothing functions for nonlinear and mixed complementarity problems

  Citation: 372

  Authors: Chunhui, O. L.

• The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study

  Citation: 346

  Authors: Bram, Shabbir, Anton J., George, Alexander

• An Interior-Point Algorithm for Nonconvex Nonlinear Programming

  Citation: 345

  Authors: Robert J., David F.

• A Heuristic for Moment-Matching Scenario Generation

  Citation: 333

  Authors: Kjetil, Michal, Stein W.

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