Open AccessA bi-objective algorithm for a reactive multi-skill project scheduling problem
Author(s) -
Cheikh Dhib,
Ameur Soukhal,
Emmanuel Néron,
Hafedh Mohamed-Babou,
Bedine Kerim
Publication year - 2016
Publication title -
international journal of computer and technology
Language(s) - English
Resource type - Journals
ISSN - 2277-3061
DOI - 10.24297/ijct.v15i11.4366
Subject(s) - computer science , mathematical optimization , scheduling (production processes) , genetic algorithm , job shop scheduling , context (archaeology) , algorithm , machine learning , mathematics , schedule , paleontology , biology , operating system
The aim of this paper is to present project scheduling problem met in a an industrial context. The focus is mainly to the reactive model. In fact, the predictive case was studied in previous works, and this paper presents a solution for a reactive version of the model studied before. We proposed a linear mathematical model for the problem and then we show that this model cannot be used in practice to the solve problem. Then we present a bi-objectve genetic algorithm proposed to solve this problem. Experiment results are provided also.