Enhanced firefly algorithm for optimal design of a disk type magneto-rheologic fluid clutch
Andreas Hackl, Michael Alb, Christian Magele, Werner Renhart · 2016
A well established firefly algorithm is improved in order to detect as many local solutions of a given objective function as possible with a minimum number of function calls. This is done by stressing the disposition of this algorithm to cluster the fireflies around good local solutions. This enhanced Firefly Algorithm will be applied for the optimal design of a disk type magneto-rheologic fluid clutch and compared with an Evolution Strategy with cluster sensitive recombination.