OptimUse: Can an Open-Source Framework Simplify Optimization?

Optimisation algorithms are critical methods and tools that can improve engineering and science fields. However, researchers are confronting challenges in the subject due to a lack of a major approach for comparisons and effective benchmarking. This requires human implementation of the algorithms, such as configuration and execution, which is time-consuming and prone to errors. This paper proposes OptimUse, a user-friendly Graphical User Interface (GUI) software built primarily to address the issues that researchers experience in this sector. OptimUse includes both single-object and multi-objective metaheuristic optimisation algorithms that can operate seemingly while providing parameter adjustment and execution. Users of OptimUse do not need programming experience or coding abilities because the software's design allows them to select algorithms from dropdown lists and parameter tunings, allowing them to acquire the results of their desired algorithm without writing any code. Furthermore, it includes standard benchmark test functions as well as real-world functions, such as the beam problem, providing a large study field for researchers. OptimUse can also be extended further because it is an open-source platform that allows users to integrate new optimisation methods. Before launching OptimUse, the software underwent many testing procedures, including white box testing and black box testing, which hampered it further. This paper proposes a solution to the problem of a unified software package that includes all the optimization methods in one place. OptimUse improves time efficacy, portability, accessibility, and repeatability, resulting in a strong and versatile solution that may be used in research studies to compare algorithms more easily. The open-source framework is available at: https://github.com/Tarik4Rashid4/OptimUse.git Supplementary Material File (paper-optimus.pdf) - Download - 217.51 KB Information & Authors Information Version history Copyright This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

Authors Metrics & Citations Metrics Article Usage 227views 158downloads Citations Download citation Hussein M Ali, Tarik A. Rashid. OptimUse: Can an Open-Source Framework Simplify Optimization?. Authorea. 13 March 2025. DOI: https://doi.org/10.22541/au.174189009.95152483/v1 DOI: https://doi.org/10.22541/au.174189009.95152483/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.