Title of article :
Project scheduling with limited resources using an efficient differential evolution algorithm
Author/Authors :
Afshar-Nadjafi, Behrouz Islamic Azad University, Qazvin Branch - Faculty of Industrial and Mechanical Engineering, ايران , Karimi, Hamid Islamic Azad University, Qazvin Branch - Faculty of Industrial and Mechanical Engineering, ايران , Rahimi, Amir Islamic Azad University, Qazvin Branch - Faculty of Industrial and Mechanical Engineering, ايران , Khalili, Somayeh Islamic Azad University, Qazvin Branch - Faculty of Industrial and Mechanical Engineering, ايران
From page :
176
To page :
184
Abstract :
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.
Keywords :
Project scheduling , Resource constraints , Differential evolution , Makespan minimization
Journal title :
Journal Of King Saud University - Engineering Sciences
Journal title :
Journal Of King Saud University - Engineering Sciences
Record number :
2609678
Link To Document :
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