modOpt is an open-source Python package for developing and comparing optimization algorithms. Modular problem definitions, solvers, and numerical components let researchers modify an algorithm without rebuilding the surrounding workflow. Recording, visualization, and interfaces to modeling frameworks and benchmark problems support testing, while transparent implementations such as OpenSQP make the algorithms accessible for study [1].
References
- Anugrah Jo Joshy, John T. Hwang. modOpt: A modular development environment and library for optimization algorithms. Advances in Engineering Software, 2026.DOIPDF
@article{joshy2026modopt, author = {Anugrah Jo Joshy and John T. Hwang}, title = {modOpt: A modular development environment and library for optimization algorithms}, journal = {Advances in Engineering Software}, year = {2026}, volume = {213}, pages = {104084}, doi = {10.1016/j.advengsoft.2025.104084}, url = {https://doi.org/10.1016/j.advengsoft.2025.104084}, eprint = {2410.12942}, archiveprefix = {arXiv}, note = {Metadata verification: Crossref DOI} }
Research connections