Functions to evaluate the quality of the results obtained by the algorithms, evaluating their diversity and convergence, providing or not some parameters to compare.
generational_distance(fitness, reference_points)
Arguments
fitness: Objective values generated by the algorithm.
reference_points: Optimal points to achieve.
Returns
A vector with the measurement parameter.
References
Lamont, G., & Veldhuizen, D.V. (1999). Multiobjective evolutionary algorithms: classifications, analyses, and new innovations.