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The Scheduling with Rejection and Parallel-batching on Parallel Machines and on-line Scheduling with Parallel-batching on Two Uniform Machines
Author: RenLiLi
Tutor: YuanJinJiang
School: Zhengzhou University
Course: Operational Research and Cybernetics
Keywords: Online scheduling Competitive ratio Consistent batch machine
CLC: O223
Type: Master's thesis
Year: 2010
Downloads: 14
Quote: 0
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Abstract
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Parallel batch sequencing is an important model of a modern sorting its advantage is that the plurality of workpieces can be placed in the same batch to be processed at the same time , thereby improving work efficiency wherein a workpiece batch processing time is defined as the longest group contains processing times of jobs in this article , we study two types of parallel batch scheduling problem . First, we studied the workpiece arrival time and may refuse on m unbounded parallel batch scheduling problem of parallel processors to minimize makespan . the problem , if you reject a workpiece , then take some punishment costs ; accept this workpiece , the workpiece is assigned to m machines on stage batch processing . objective function is to minimize the workpiece costs and completion time and refused workpiece when m is a given constant , we have given this issue a pseudo- polynomial time algorithm and a fully polynomial-time approximation scheme . Secondly, we study consistent online batch machine to minimize makespan scheduling problem in the problem , we have two batch machine , the speed of the machine is a another machine speed v , where 0 lt ; v ≤ 1 . All the workpiece are following time line to reach , in the workpiece prior to the arrival of their message , we know nothing about . assuming α ≈ 0.618 is the positive root of the equation α2 α-1 = 0 , and β β3 3β2 equation (3-1 / v) β-1 / v = 0 the positive root of the problem , we first establish its competitive than the lower bound : 1/2 ≤ v ≤ 0 lt; v ≤ 1/2 , the lower bound of 1 α; 1 , the lower bound of 1 β. above the lower bound of pj = 1 case also established . Secondly , we present two online algorithms Delay-Q2 and Refined - Delay - Q2 . online algorithm Delay- Q2 competition ratio of max {1 α, min {1 v, 1 / v α}}. 0 lt; v ≤ 1/2 , the online algorithm is the best possible , and pj = 1 is the best possible competitive ratio are 1 α ≈ 1.618. when 1/2 ≤ v ≤ 1 , and pj = 1 , online algorithm Refined-Delay-Q2 is the best possible , the competition ratio of 1 β . Thus, pj = 1 case , the study The problem has been the complete solution .
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CLC: > Mathematical sciences and chemical > Mathematics > Operations Research > An integrated approach
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