M. A. Rubio and A. Urquia
Sensitivity Analysis during the Optimization Process Using Genetic Algorithms
140 - 144
2017
11
4
International Journal of Mathematical and Computational Sciences
https://publications.waset.org/pdf/10006659
https://publications.waset.org/vol/124
World Academy of Science, Engineering and Technology
Genetic algorithms (GA) are applied to the solution
of highdimensional optimization problems. Additionally, sensitivity
analysis (SA) is usually carried out to determine the effect on optimal
solutions of changes in parameter values of the objective function.
These two analyses (i.e., optimization and sensitivity analysis)
are computationally intensive when applied to highdimensional
functions. The approach presented in this paper consists in performing
the SA during the GA execution, by statistically analyzing the data
obtained of running the GA. The advantage is that in this case
SA does not involve making additional evaluations of the objective
function and, consequently, this proposed approach requires less
computational effort than conducting optimization and SA in two
consecutive steps.
Open Science Index 124, 2017