Multi-objective optimization algorithm based-on Bayesian networks
Zhu Hong-chao · Journal of North China Electric Power University · 2007
In view of solving the inefficient evolutionary and computational waste for multi-objective optimization,this paper proposes a new multi-objective Bayesian optimization algorithm(MBOA).MBOA incorporates the non-dominated selection according to the strength and density of individuals,uses local BD metric to test the quality of the tree networks.The experimental results show that the proposed method is efficient.