کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
827225 | 907986 | 2015 | 9 صفحه PDF | دانلود رایگان |
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.
Journal: Journal of King Saud University - Engineering Sciences - Volume 27, Issue 2, July 2015, Pages 176–184