Exploiting diversity in an asynchronous migration model for distributed differential evolution
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2017
In this paper an improved version of a general-purpose asynchronous adaptive multi-population model for distributed Differential Evolution algorithm is investigated. Specifically, in addition to an asynchronous mechanism for a multi-population recombination employed to exchange information, the distributed algorithm is endowed also with an innovative mechanism able to exploit diversity for the selection of the subpopulations involved in the asynchronous communication. Moreover the model is provided with a specific updating scheme to randomly update the control parameter values.