Evolutionary Bayesian Network design for high dimensional experiments

摘要: Abstract Laboratory experimentation is increasingly concerned with systems whose dynamical behaviour can be affected by a very large number of variables. Objectives on such are generally both the optimisation some experimental responses and efficiency in terms low investment resources impact environment. Design modelling for high dimensional these objectives present hard challenging problems, to which much current research devoted. In this paper, we introduce novel approach based evolutionary principle Bayesian network models. This discover optimum values while testing just limited points. The good performance shown simulation analysis biochemical study concerning emergence new functional bio-entities.