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An exact method to solve a Bi-objective Resource Constraint Project Scheduling Problem

机译:解决双目标资源约束项目调度问题的精确方法

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The Resource Constraint Project Scheduling Problem (RCPSP) is one of the most challenging and interesting problems within the scheduling topic. It brings more and more attention to the researchers since the recent decades. In the RCPSP, we consider a project scheduling problem with a set of jobs submitted to precedence relationships as well as a set of resources with limited capacities. During each period, it is compulsory to guarantee enough resources since one resource could be required by several jobs in process. In this paper, we tackle a bi-objective RCPSP with minimization of the makespan and the total job tardiness. In order to find optimal Pareto fronts, we have introduced two bi-objective mathematical formulations and solved our problem with the two phase method (TPM). Our method is tested with instances randomly generated considering 10, 15, 20 jobs and 4 types of resources. In this paper, we report the experimental results within 1800s and more tests will be launched to explore the limits of the exact method.
机译:资源约束项目调度问题(RCPSP)是调度主题中最具挑战性和有趣问题之一。自最近几十年以来,它为研究人员带来了越来越多的关注。在RCPSP中,我们考虑了一个项目调度问题,该项目提交到优先关系的一组作业以及一组具有有限的资源。在每个时期,强制性地保证足够的资源,因为几个工作中可能需要一个资源。在本文中,我们解决了双目标RCPSP,最大限度地减少了Makespan和总职业迟到。为了找到最佳的帕累托前线,我们推出了两种双目标数学制剂,并解决了我们两相方法(TPM)的问题。我们的方法通过考虑10,15,20作业和4种资源而随机生成的实例进行了测试。在本文中,我们将实验结果报告在180年代以内,将推出更多的测试以探索确切方法的限制。

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