Scheduling of tasks in multiprocessor system using hybrid genetic algorithms

摘要

This paper presents an investigation into the optimal scheduling of realtimeudtasks of a multiprocessor system using hybrid genetic algorithms (GAs). A comparativeudstudy of heuristic approaches such as `Earliest Deadline First (EDF)¿ andud`Shortest Computation Time First (SCTF)¿ and genetic algorithm is explored anduddemonstrated. The results of the simulation study using MATLAB is presented anduddiscussed. Finally, conclusions are drawn from the results obtained that genetic algorithmudcan be used for scheduling of real-time tasks to meet deadlines, in turn to obtainudhigh processor utilization.