Multiobjective Optimization Test Environment
The Multiobjective Optimization Test Environment allows the user to test algorithms on multiobjective optimization problems. This code was produced for my master's thesis named Multiobjective Nelder-Mead Algorithm Using a Mesh-Map of Weighted Sums. Features of the test environment include:
Randomly generated problems (Quadratics and Sine Polynomials)
User-defined problems (Input your own problem)
Algorithm results on individual problems
Accuracy profiles for larger data sets
Comma-Separated Values (CSV) file of data summary
Patrick Nadeau (2024). Multiobjective Optimization Test Environment (https://github.com/pat2017b/Multiobjective-Optimization-Test-Environment/releases/tag/v1.0), GitHub. Retrieved .
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