A dynamic resource constrained project scheduling problem. (1st January 2013)

• Record Type: Journal Article
• Authors: da Silva, André Renato Villela; Ochi, Luiz Satoru
• Is Part Of: International journal of data mining, modelling and management. Volume 5:Number 4(2013)
• Page Start: 370
• Page End: 379
• Publication Date: 2013-01-01
• Subjects: project scheduling problem -- evolutionary algorithms -- mathematical formulation -- metaheuristics; Data mining -- Periodicals; Information science -- Periodicals; Databases -- Periodicals; 005.7
• Languages: English
• ISSNs: 1759-1163

Abstract

In this paper, we present a variant of classical scheduling problems which deal with restricted resources. Unlike other models studied in the literature, the proposed model has no upper bound for the amount of available resources. The objective of this variant is to find a solution that maximises this amount at the end of the planning horizon. A hybrid evolutionary algorithm is proposed for this problem presenting very promising computational results.