Business process simulation enables detail analysis of resource allocation strategies without actually deploying the processes. Although business process simulation has been widely researched in recent years, less attention has been devoted to automating the simulation of business processes with the help of evolutionary computation. In this research, we aim to implement a generic GA modeling framework which can be used to simulate different kinds of business processes. Specifically, optimum resource allocation scheme for the simulation can be effectively chosen by the evolution process of a genetic algorithm (GA). The proposed generic GA modeling framework is capable of automatically retrieving information regarding available resources, temporal constraints of the tasks, and process models from a given business process and can produce the best resource assignment scheme.