Self-adaptive of Differential Evolution using Neural Network with Island Model of Genetic Algorithm
Linh Tao, Hieu Pham, Hiroshi Hasegawa · Linköping electronic conference proceedings · 2018
A new evolutionary algorithm called NN-DEGA that using Artificial Neural Network (ANN) for Self-adaptive Differential Evolution (DE) with Island model of Genetic Algorithm (GA) is proposed to solve large scale optimization problems, to reduce calculation cost, and to improve stability of convergence towards the optimal solution.This is an approach that combines the global search ability of DE and the local search ability of Adaptive System with Island model of GA.The proposed algorithm incorporates concept from DE, GA, and Neural Networks (NN) for self-adaptive of control parameters.The NN-DEGA is applied to several benchmark tests with multidimensions to evaluate its performance.It is shown to be statistically significantly superior to other Evolutionary Algorithms (EAs), and Memetic Algorithms (MAs).