Indian Journal of Science and Technology
DOI: 10.17485/ijst/2020/v13i01/148732
Year: 2020, Volume: 13, Issue: 1, Pages: 85 – 90
Original Article
Dr. V. Anandkumar*, Mr. T.R. Kalaiarasan and Mr. A.M. Ratheeshkumar
Sri Krishna College of Engineering and Technology, India
*Author for correspondence:
V. Anandkumar
Sri Krishna College of Engineering and Technology, India
E-mail ID: anandkumar@skcet.ac.in
Objective: This study implements a combination of heuristicbased algorithm and finding variable neighborhoods, thereby reducing make-span and improving reliability.
Methods/statistical analysis: The bi-objective algorithm is proposed for a static planning strategy to achieve high performance in heterogeneous multiprocessor systems. The reliability of a system is based on the probability in which resources of the system execute tasks without any failure.
Findings: Here, a genetic algorithm integrated using single neighborhood structure Genetic Variable Neighbourhood Search (GVNS) is implemented to improve the efficient search quality.
Applications and improvements: Simulation is performed to maintain better performance parameters when compared with conventional algorithms.
Keywords: Directed Acyclic Graph, Inter Process Communication, Evolutionary Algorithm.
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