A multiobjective optimization test function that is tough for many optimization algorithms
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A Multiobjective Optimization Test Function used in the conference paper: Lee Y.H., Corman, R.E., Ewoldt, R.H., and Allison, J.T., "A Multiobjective Adaptive Surrogate Modeling Optimization (MO-ASMO) Framework Using Efficient Sampling Strategies," ASME IDETC/CIE, 2017.
This is a multiobjective optimization test function, which has a small feasible design domain across the wavy and large design space. Also, the solution is discontinuous in design space as well as objective function space. Thus, this test problem is difficult to be solved with some of multiobjective optimization algorithms.
Cite As
Yong Hoon Lee (2026). Lee2017a - A Multiobjective Optimization Test Function (https://github.com/yonghoonlee/MO_TestFunction_Lee2017a), GitHub. Retrieved .
General Information
- Version 1.0.0.0 (303 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | added an image |
