DocumentCode
1770073
Title
Artificial Bee Colony to solve seafaring staff scheduling problem: A real case
Author
Koubaa, Mohamed ; Elloumi, Sourour ; Dhouib, Souhail
Author_Institution
LOGIQ Res. Unit, Univ. of Sfax, Sfax, Tunisia
fYear
2014
fDate
1-3 May 2014
Firstpage
314
Lastpage
318
Abstract
Personnel scheduling problem is a combinatorial optimization problem which belongs to NP-hard set of problems. In this paper, we propose to solve a seafaring staff scheduling problem through the use of the Artificial Bee Colony method. The central aim of this work is to offer a productive way in order to release a benchmarking between the results produced by the artificial Bee Colony method and those obtained by the traditionally applied method. The results show that this method outperforms the traditional one. Besides, this algorithm enables us to give the maximum of coverage with a less computational time.
Keywords
combinatorial mathematics; computational complexity; optimisation; personnel; scheduling; NP-hard problem; artificial bee colony method; combinatorial optimization problem; computational time; personnel scheduling problem; seafaring staff scheduling problem; Benchmark testing; Genetic algorithms; Optimization; Particle swarm optimization; Personnel; Processor scheduling; Scheduling; Aritificial Bee Colony; Scheduling; Seafaring Staff;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Logistics and Transport (ICALT), 2014 International Conference on
Conference_Location
Hammamet
Type
conf
DOI
10.1109/ICAdLT.2014.6866331
Filename
6866331
Link To Document