同类机随机在线排序模型及算法分析
A Model and Algorithm Analysis for Stochastic Online Scheduling on Uniform Machines
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摘要: 考虑同类机随机在线排序问题。假设有m台同类机,工件在线到达,问题的目标是使总加权完工时间的期望值最小。考察该随机在线问题,首先利用线性规划松弛的方法,得到问题最优解的一个下界; 然后给出解决该问题的一个在线算法,并分析了该算法的竞争比。Abstract: In this paper, we consider the stochastic online problem on m uniform parallel machines with the objective to minimize the total weighted expected completion times. In order to solve this problem, we first present a lower bound of the optimal value for the problem with the tool of linear programming relaxation, and then analyze the performance guarantee of the algorithm.