A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Using response surface design to determine the optimal parameters of genetic algorithm and a case study
International Journal of Production Research
Article title: Using response surface design to determine the optimal parameters of genetic algorithm and a case study Abstract: Genetic algorithms are efficient stochastic search techniques for approximating optimal solutions within complex search spaces and used widely to solve NP hard problems. This algorithm includes a number of parameters whose different levels affect the performance of the algorithm strictly. The general approach to determine the appropriate parameter combination ofdoi:10.1080/00207543.2013.784411 fatcat:56km4q2ppzaclfzjpkixj65ya4