Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : September 22, 2016 - September 24, 2016
Grammatical Evolution (GE) is a kind of evolutionary computation which aims to design the function or program satisfying the design objective. The search algorithm of GE is same as Genetic Algorithm (GA). For improving the search performance, Grammatical Differential Evolution (GDE) is presented. GDE adopts the Differential Evolution (DE) instead of GA. This paper focuses on the improved algorithm of GDE, which is named as Real-value Grammatical Defferential Evolution (RGDE). GDE and RGDE are compared in the symbolic regression problem. The results show that RDGE has better convergence property than GDE.
