performance_metrics: Objective Values performance metrics
In rmoo: Multi-Objective Optimization in R
performance_metrics R Documentation
Objective Values performance metrics
Description
Functions to evaluate the quality of the results obtained by the algorithms, evaluating their diversity and convergence, providing or not some parameters to compare.
Usage
generational_distance(fitness, reference_points)
Arguments
fitness
Objective values generated by the algorithm.
reference_points
Optimal points to achieve.
Value
A vector with the measurement parameter.
Author(s)
Francisco Benitez
References
Lamont, G., & Veldhuizen, D.V. (1999). Multiobjective evolutionary algorithms: classifications, analyses, and new innovations.
rmoo documentation built on Sept. 24, 2022, 9:05 a.m.
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| performance_metrics | R Documentation |
Objective Values performance metrics
Description
Functions to evaluate the quality of the results obtained by the algorithms, evaluating their diversity and convergence, providing or not some parameters to compare.
Usage
generational_distance(fitness, reference_points)
Arguments
fitness |
Objective values generated by the algorithm. |
reference_points |
Optimal points to achieve. |
Value
A vector with the measurement parameter.
Author(s)
Francisco Benitez
References
Lamont, G., & Veldhuizen, D.V. (1999). Multiobjective evolutionary algorithms: classifications, analyses, and new innovations.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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