As a principle, creating a distributed program is usually much more difficult than creating a sequential program with the same functionality from a source code. Therefore, automatic distribution of a program into a distributed computing environment has always been an open research problem. The purpose of the automatic distribution is to achieve the highest speed up by creating most concurrency in the source code. Therefore, the aim of this paper is to propose a new quality function by considering synchronous and asynchronous invocations. Also, it presents an evolutionary approach that uses genetic algorithm and hill climbing for minimizing the proposed quality function, aiming to extract the distributed architecture from the source code. The results show that the proposed approach adequately extract the distribution architecture of a source code and improves the speed up.