Title
A biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problem
Abstract
This paper presents a biased random-key genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. Active schedules are constructed using a priority-rule heuristic in which the priorities of the activities are defined by the genetic algorithm. A forward-backward improvement procedure is applied to all solutions. The chromosomes supplied by the genetic algorithm are adjusted to reflect the solutions obtained by the improvement procedure. The heuristic is tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.
Year
DOI
Venue
2011
10.1007/s10732-010-9142-2
Journal of Heuristics
Keywords
Field
DocType
Project management,Scheduling,Genetic algorithms,Random keys,Forward-backward improvement,Resource constrained project scheduling problem
Project scheduling problem,Mathematical optimization,Scheduling (computing),Genetic algorithm,Mathematics,Project management
Journal
Volume
Issue
ISSN
16
3
1381-1231
Citations 
PageRank 
References 
21
0.75
28
Authors
3
Name
Order
Citations
PageRank
José Fernando Gonçalves173637.31
Mauricio G. C. Resende23729336.98
Jorge J. M. Mendes31023.74