A construction of the minimum volume ellipsoid containing a set of points using BRKGA metaheuristic
DOI:
https://doi.org/10.5540/03.2021.008.01.0339Palabras clave:
Minimum Volume Ellipsoid, BRKGA, Lõwner-John Ellipsoid, Optimization, Python.Resumen
The problem of obtaining a Minimum Volume Enclosing Ellipsoid (MVEE) of a given point set C = {#i,..., xn} Ç Rn is found in several practical applications. This paper proposes an alternative methodology to build these ellipsoids of minimum volume through a metaheuristic based on the Biased Random-Keys Genetic Algorithm (BRKGA) in order to reduce the computational cost in solving n-dimensional MVEE problems. The formulation was implemented in Python and compared with the CVX package implemented in MATLAB for 10 two-dimensional instances. The results showed that BRKGA generated solutions with a high levei of accuracy and low computational cost.
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