CMA-ES.zip_CMA_ES_cma function_complex dynamical_evolution strat

The Matlab files and their descriptions are as follows: Ackley.m, Rosenbrock.m, Sphere.m, Step.m - These are the 4 benchmark functions. You can use these as templates to write your own function if you are interested in testing or optimizing some other function. GA.m, CMAES.m - These are the optimization algorithms. They can be used to optimize some function by typing, for example, the following at the Matlab prompt: >> CMAES(@Sphere); This command would run CMAES on the Sphere (which is codified in Sphere.m) Init.m - This contains various initialization settings for the optimization methods. You can edit this file to change the population size, the generation count limit, the problem dimension, and the mutation probability of any of the optimization methods that you want to run. ClearDups.m - This is used by each optimization method to get rid of duplicate population members and replace them with randomly generated individuals. ComputeAveCost.m - This is used by each optimization method to compute the average cost of the population and to count the number of legal (feasible) individuals. PopSort.m - This is used by each optimization method to sort population members from most fit to least fit. Conclude.m - This is concludes the processing of each optimization method. It does common processing like outputting results.