Genetic Approach to Parallel Scheduling
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 13, Issue 4
Abstract
Task Scheduling is Essential part for proper functioning of parallel processing system. Several approaches have been applied to solve this problem. Genetic algorithms have received much awareness as they are robust and guarantee for a good solution. In this paper a genetic algorithm is developed and implemented and performance of algorithm is measured under altering parameters. Adaptive parameter approach has been applied to enhance the performance of the genetic algorithm.
Authors and Affiliations
Prashant Sharma
Keywords
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