Computational Optimization and Applications is a peer-reviewed journal dedicated to the analysis and development of computational algorithms and optimization modeling technology. Publishes research on general and specific classes of optimization problems, encompassing stochastic and deterministic algorithms. Covers a broad spectrum of optimization topics, including large scale, unconstrained, constrained, nondifferentiable, combinatorial, stochastic, multiobjective, and network optimization. Features research and tutorial papers providing theoretical analysis, complemented by meticulously designed computational experiments. Welcomes submissions that offer both theoretical analysis, along with carefully designed computational experiments.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ1
Computational MathematicsQ1
Control and OptimizationQ1
Subject Classification
Web of Science Categories
Mathematics, AppliedOperations Research & Management Science
Scopus Categories
Applied MathematicsControl and OptimizationComputational Mathematics
Research Topics (OpenAlex)
Advanced Optimization Algorithms ResearchOptimization and Variational AnalysisSparse and Compressive Sensing TechniquesMatrix Theory and AlgorithmsIterative Methods for Nonlinear EquationsAdvanced Multi-Objective Optimization AlgorithmsNumerical methods in inverse problemsStochastic Gradient Optimization TechniquesAdvanced Numerical Methods in Computational MathematicsRisk and Portfolio Optimization