Un procedimiento de fuerte reducción de las dimensiones del RCPS/Pi

Clicks: 158
ID: 32672
2009
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Recently, in the field of project scheduling problems the concept of partially renewable resources has been introduced. Theoretically, it is a generalization of both renewable and non-renewable resources. From an applied point of view, partially renewable resources allow us to model a large variety of situations that do not fit into classical models, but can be found in real problems in timetabling and labour scheduling. When modelling real problems, the problem of project scheduling with partially renewable resources, as many other combinatorial problems, gets such large dimensions that it is quite difficult to apply solution procedures. In this paper, we describe some powerful preprocessing techniques that reduce significantly the dimension of the problems and therefore improve the efficiency of any algorithm used for solving them. The paper shows the excellent results obtained by these techniques on a set of test instance taken from the literature. Keywords: Project Scheduling, Preprocessing, Partially Renewable Resources.
Reference Key
olagubel2009unrevista Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Olaguíbel, Ramón Álvarez-Valdés;Crespo, Enric;Goerlich, José Manuel Tamarit;Juliá, M. Fulgencia Villa;
Journal revista de matemática: teoría y aplicaciones
Year 2009
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.