Project scheduling with limited resources using an efficient differential evolution algorithm

Extensive research has been devoted to resource constrained project scheduling problem (RCPSP). Resources are renewable and there is a unique way to perform the activities. This work develops a population based evolutionary algorithm namely differential evolution (DE) to schedule project activities...

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Bibliographic Details
Published in:Journal of King Saud University. Engineering sciences Vol. 27; no. 2; pp. 176 - 184
Main Authors: Behrouz Afshar-Nadjafi, Hamid Karimi, Amir Rahimi, Somayeh Khalili
Format: Journal Article
Language:English
Published: Springer 01.07.2015
Subjects:
Differential evolution
Makespan minimization
Project scheduling
Resource constraints
ISSN:1018-3639
Online Access:Get full text
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Summary:Extensive research has been devoted to resource constrained project scheduling problem (RCPSP). Resources are renewable and there is a unique way to perform the activities. This work develops a population based evolutionary algorithm namely differential evolution (DE) to schedule project activities to minimize makespan subject to precedence constraints and resources availability. The proposed DE uses a priority value based representation to encode a project schedule and a serial generation scheme to obtain the schedule. The DE algorithm is compared with some existing algorithms available in the literature on the basis of a computational experiment performed on Patterson’s test bed. Obtained results show that the performance of the proposed DE is quite satisfactory.
ISSN:1018-3639
DOI:10.1016/j.jksues.2013.08.003