Robust Optimization Model of Project Scheduling Problem Based on Genetic Algorithm

DOI

10.2991/icmemtc-16.2016.282How to use a DOI?

Keywords

Project scheduling; Robust optimization model; probability distribution; Genetic algorithm.

Abstract

A robust optimization model of resource-constrained critical chain project scheduling problem is introduced. Stochastic programming method is used to describe the uncertainty of activity duration. Based on the traditional critical chain project scheduling mode, a genetic algorithm is introduced, and steps of solving proposed model for RCPSP problem with stochastic activity durations are designed. An actual project is applied to explain the robust optimization model and the proposed genetic algorithm. The numeric experiment showed that the method designed in this paper is robust to deal with activity duration uncertainties.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dayong Wang
AU  - Xiangyang Li
AU  - Bingxiu Fang
AU  - Jinling Chou
PY  - 2016/04
DA  - 2016/04
TI  - Robust Optimization Model of Project Scheduling Problem Based on Genetic Algorithm
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1455
EP  - 1461
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.282
DO  - 10.2991/icmemtc-16.2016.282
ID  - Wang2016/04
ER  -