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Mathematical Problems in Engineering
Volume 2013, Article ID 708495, 16 pages
Research Article

A Genetic Algorithm for Task Scheduling on NoC Using FDH Cross Efficiency

School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received 5 August 2013; Accepted 7 November 2013

Academic Editor: Hao-Chun Lu

Copyright © 2013 Song Chai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A CrosFDH-GA algorithm is proposed for the task scheduling problem on the NoC-based MPSoC regarding the multicriterion optimization. First of all, four common criterions, namely, makespan, data routing energy, average link load, and workload balance, are extracted from the task scheduling problem on NoC and are used to construct the DEA DMU model. Then the FDH analysis is applied to the problem, and a FDH cross efficiency formulation is derived for evaluating the relative advantage among schedule solutions. Finally, we introduce the DEA approach to the genetic algorithm and propose a CrosFDH-GA scheduling algorithm to find the most efficient schedule solution for a given scheduling problem. The simulation results show that our FDH cross efficiency formulation effectively evaluates the performance of schedule solutions. By conducting comparative simulations, our CrosFDH-GA proposal produces more metrics-balanced schedule solution than other multicriterion algorithms.