AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem
Nature-Inspired Design of Hybrid Intelligent Systems, pp. 701-711, 2017.
In this paper, the analytical parameter tuning for the Archive Multi-objective Simulated Annealing (AMOSA) is described. The analytical tuning method yields the initial and final temperature, and the maximum metropolis length. The analytically tuned AMOSA is used to solve the Heterogeneous Computing Scheduling Problem with independent tas...More
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