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DOE OSTI · 1608209

Metaheuristic Optimization Tool

Variansyah, Ilham·Bae, Jin Whan·Betzler, Benjamin R.·Ilas, Germina
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Abstract

The metaheuristic optimization tool (MOT) is a generic python module for solving a real value, multiobjective, multidimensional optimization problem. Users design their optimization problem by defining search variables, simulations, evaluation metric functions, and constraints. Search variables and constraints are straightforwardly added via python object methods, while simulations and metric functions used for search variable set evaluation must be implemented as a python class. Final optimum result(s) are provided in a tabular text file, as well as search history if needed.

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BibTeXRIS

Variansyah, Ilham, Bae, Jin Whan, Betzler, Benjamin R., Ilas, Germina. 2020-03-01. Metaheuristic Optimization Tool. https://doi.org/10.2172/1608209

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