Many algorithms have been developed for the CPU scheduling of a modern multiprogramming operating system. Our research work involves the design and development of new CPU scheduling algorithm (the Hybrid Scheduling Algorithm using genetic approach). This work involves a software tool which produces a comprehensive simulation of a number of CPU scheduling algorithms. The tool’s results are in the form of scheduling performance metrics. We will discuss the use of genetic algorithm to provide efficient scheduling algorithm. The work shows that genetic approach will be efficient for sequencing problems. Result of the work shows that proposed genetic algorithm demands less average waiting time.