The journal publishes research on computational optimization, focusing on the development and analysis of algorithms for solving various optimization problems. Topics include second-order methods, robust optimization, heuristics for NP-hard problems, machine learning applications in optimization, and theoretical aspects of optimization algorithms. The research often involves mathematical formulations, computational experiments, and comparisons with existing methods.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2018
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2020
2021
2022
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2025
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.
Computational MathematicsQ1
Control and OptimizationQ1
Management Science and Operations ResearchQ1
Modeling and SimulationQ1
Subject Classification
Web of Science Categories
Operations Research & Management Science
Scopus Categories
Management Science and Operations ResearchControl and OptimizationComputational MathematicsModeling and Simulation
Research Topics (OpenAlex)
Vehicle Routing Optimization MethodsAdvanced Optimization Algorithms ResearchRisk and Portfolio OptimizationFacility Location and Emergency ManagementOptimization and Packing ProblemsScheduling and Optimization AlgorithmsOptimization and Search ProblemsSparse and Compressive Sensing TechniquesMetaheuristic Optimization Algorithms ResearchTransportation Planning and Optimization