Developing a New Genetic Algorithm for Selecting Efficient Project Portfolio

selecting an eÿcient project portfolio among avail-able projects is a vital decision for any project man-ager. The main questions are which projects can have more long-term benefit for manager or organization. Due to the complexity of this field of research, todays so many approaches are developed for project selec-tion. Calculation time and the quality of result are two main criterion that almost all researchers have consid-erate on them. In this research a new hybrid genetic algorithm with new heuristic mutation and cross over are developed to choosing a good portfolio of avail-able projects Presented algorithm is fast and eective to reach the good result in reasonable time. Finding a good point to start as initial population and using good operator a heuristic mutation and cross over are main points of our algorithm.