@inbook{8b28e785c24545ec9c3511bc07a5925b,
title = "Scheduling of tasks in multiprocessor system using hybrid genetic algorithms",
abstract = "This paper presents an investigation into the optimal scheduling of real-time tasks of a multiprocessor system using hybrid genetic algorithms (GAs). A comparative study of heuristic approaches such as {\textquoteleft}Earliest Deadline First (EDF){\textquoteright} and {\textquoteleft}Shortest Computation Time First (SCTF){\textquoteright} and genetic algorithm is explored and demonstrated. The results of the simulation study using MATLAB is presented and discussed. Finally, conclusions are drawn from the results obtained that genetic algorithm can be used for scheduling of real-time tasks to meet deadlines, in turn to obtain high processor utilization.",
keywords = "optimal scheduling, hard real-time tasks, multiprocessor system, heuristics, genetic algorithm",
author = "Betzy Varghes and Alamgir Hossain and Keshav Dahal",
year = "2009",
doi = "10.1007/978-3-540-88079-0_7",
language = "English",
isbn = "9783540880783",
series = "Advances in Soft Computing",
publisher = "Springer Berlin Heidelberg",
pages = "65--74",
editor = "E. Avineri and M. K{\"o}ppen and K. Dahal and Y. Sunitiyoso and R. Roy",
booktitle = "Applications of Soft Computing",
address = "Germany",
}