Introduction - If you have any usage issues, please Google them yourself
This a very simple genetic algorithm source code, which is developed by Denis Cormier (North Carolina State University), the Sita S.Raghavan (the University of North Carolina at Charlotte) correction. Code to ensure that as little as possible, and in fact do not have to troubleshoot. This code of a specific application correction, the user can simply change the definition of the constants and can be defined "evaluation function". Attention to the design of the code is the maximum, where the objective function can only take positive and there is no difference between the value of the function and the individual s fitness. The system uses the ratio of choice, the essence of the model, a single point of hybridization and uniform variation. If replaced by Gaussian variation uniform mutation, possible to obtain better results. Code no graphics, or even no screen output, mainly to ensure high portability between platforms. Readers can get in the from the file prog.c ftp.uncc.edu, catalog