This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms. Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization.
| YEAR | Impact Factor |
|---|---|
| 2024-25 | 2.0 |
| 2023 | 1.6 |
| 2022 | 2.2 |
| 2021 | 2.005 |
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 0926-6003, SPRINGER, Mathematics.