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- W2802706925 abstract "Abstract Simulated Annealing ( SA ) has been shown as an exceptional method for finding an optimal solution to the combinatorial optimisation problems . In the present work, optimal combinations of different simulated annealing parameters have been identified by using the RSM - based grey relational analysis ( GRA ) for Bi - criteria multiprocessor task scheduling problem . Parameter selection is needed as SA is a meta - heuristic that does not specify all the necessary information for the optimised results . The experiments include 135 sets of data corresponding to samplings obtained from Response surface methodology ( RSM ) small factorial experimental design for three numeric parameters i . e . , initial temperature, Re - anneal interval and weight of objective function with two categorical factors i . e . , temperature function and move function, respectively . The multiprocessor task scheduling problem of standard LU decomposition with 14 tasks and 4 processors has been considered for simulated annealing parameters optimization . The objective function considered is minimization of the weighted sum of makespan and total completion time simultaneously . Keywords: Multiprocessor task scheduling, simulated annealing, response surface methodology, makespan, total completion time Cite this Article Sunita Dhingra. Optimization of Simulated Annealing Parameters for Bi-Criteria Multiprocessor Task Scheduling Using RSM-Grey Methodology. Journal of Advancements in Robotics . 2017; 4(3): 17–28p." @default.
- W2802706925 created "2018-05-17" @default.
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- W2802706925 date "2018-01-30" @default.
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- W2802706925 title "Optimization of Simulated Annealing Parameters for Bi-Criteria Multiprocessor Task Scheduling Using RSM-Grey Methodology" @default.
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