Sevila Sojudi - Islamic Azad University Of QAZVIN, QIAU Qazvin, Iran
Mehrdad ziadi - Islamic Azad University of QAZVIN, QIAU Qazvin, Iran
Rashno Ali - Payyam NOOR University of KhoramAbad BranchKhoramAbad, Iran

Task scheduling problem on multiprocessor systems because of the use of the processors and also spend less time is particularly important. The problem of a class of hard problems and obtain optimal solutions with high temporal complexity, so to solve this problem is to use heuristic methods. Using geneticalgorithms, effective method for multi-processor systems are scheduled. In this paper, a new method for multiprocessor scheduling system is presented the scheduling priority of doing things based on the number of children and grandchildren and check earliest start time and end up enjoying things a genetic algorithm is done. The results show proposed new algorithmoptimal timing to acquire common genetic methods.

Genetic Algorithm, Multi-processor system, Thenumber of Offspring, Task Scheduling