Citation

Borba, L.M; Benavides, A.J; Zubaran, T; Carniel, G.M and Ritt, M A simple stochastic local search for multi-mode resource-constrained multi-project scheduling. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 826-830, 2013.

Paper


Abstract

In the multi-mode resource-constrained multi-project scheduling(MMRCMPSP) problem we have to ?nd execution modes and starting times for the jobs of multiple projects, such that the total project delay is minimized. The delay of a project is the difference between its makespan and a lower bound on its duration. Asecondary objective is to minimize the total makespan of all projects. The jobs of a project compete for renewable and nonrenewable local resources, and for global renewable resources shared among the projects. The duration and resource requirements of a job depend on its execution mode. We present a simple stochastic local search method for this problem. It maintains a feasible permutation and mode selection of the jobs, and improves it by swapping the order of two jobs, or changing the mode of a job. We propose several techniques to reduce size of the analyzed neighborhoods. The method has ranked fourth during the quali?cation phase of the MISTA challenge, and was quali?ed for the second phase. We present computational experimentsonthe twenty instances of the challenge and compare them to the results of the quali?cation phase.


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Bibtex

@INPROCEEDINGS{2013-826-830-P, author = {L.M. Borba and A.J. Benavides and T. Zubaran and G.M. Carniel and M. Ritt},
title = {A simple stochastic local search for multi-mode resource-constrained multi-project scheduling },
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {826--830},
note = {Paper},
abstract = { In the multi-mode resource-constrained multi-project scheduling(MMRCMPSP) problem we have to ?nd execution modes and starting times for the jobs of multiple projects, such that the total project delay is minimized. The delay of a project is the difference between its makespan and a lower bound on its duration. Asecondary objective is to minimize the total makespan of all projects. The jobs of a project compete for renewable and nonrenewable local resources, and for global renewable resources shared among the projects. The duration and resource requirements of a job depend on its execution mode. We present a simple stochastic local search method for this problem. It maintains a feasible permutation and mode selection of the jobs, and improves it by swapping the order of two jobs, or changing the mode of a job. We propose several techniques to reduce size of the analyzed neighborhoods. The method has ranked fourth during the quali?cation phase of the MISTA challenge, and was quali?ed for the second phase. We present computational experimentsonthe twenty instances of the challenge and compare them to the results of the quali?cation phase.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-826-830-P.pdf} }