These scritps implement the version of the Genetic Algorithm decribed in
"Control predictivo basado en modelos mediante técnica de optimización heurística. Aplicación a procesos no lineales y multivariables. F. Xavier Blasco Ferragud. PhD Tesis 1999 (in Spanish). Editorial UPV. ISBN 84-699-5429-6.
It is an easy to use GA and basic instructions are supplied.
Available at: http://hdl.handle.net/10251/15995
Thanks for the code, quick conversion from Matlab solver GA to yours
Answer to Jaouadi Zouhour.
No heuristic algorithm can guarantee to have found the global optimum. In the current version of the algorithm the stop is done with a fixed number of iterations, but the user can add his own criterion of stop in the function gaiteration.m. This function is executed at each iteration of the algorithm.
For instances, you could add:
Change yourStopCriterionIsSatisfied by your own condition.
Thank you for the code.
I have a question, While applying the ga alg. my optimal function converges to a fix value starting from an iteration (iteration: 50). does it correspond to the optimal point? is it possible to stop the iterations and assume it as the minimum ?
New SLM scheme to reduce the PAPR of OFDM signals using
a genetic algorithm
Correcting the order in the way each the gaiteration is performed.
Bug fixed. Improved code efficiency.
Inspired: Economic Dispatch by dynamic GA
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