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
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;
Conference_Titel :
Advanced Logistics and Transport (ICALT), 2014 International Conference on
Conference_Location :
Hammamet
DOI :
10.1109/ICAdLT.2014.6866331