DocumentCode :
632470
Title :
A discrete artificial bee colony algorithm for the team orienteering problem with time windows
Author :
Karabulut, Korhan ; Tasgetiren, M. Fatih
Author_Institution :
Software Eng. Dept., Yasar Univ., Izmir, Turkey
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
99
Lastpage :
106
Abstract :
This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate neighboring food sources in the framework of the DABC algorithm. In addition, a variable neighborhood descent (VND) algorithm is developed to enhance the solution quality. The performance of the algorithm was tested on a benchmark set from the literature. Experimental results show that the proposed DABC algorithm is competitive to the best performing algorithms from the literature. Ultimately, 11 instances are further improved by the proposed DABC algorithm.
Keywords :
computational complexity; optimisation; DABC algorithm; NP-hard problem; TOPTW; VND algorithm; construction procedure; destruction procedure; discrete artificial bee colony algorithm; neighboring food source generation; team orienteering problem with time windows; variable neighborhood descent algorithm; Algorithm design and analysis; Computational intelligence; Computers; Logistics; Optimization; Sociology; Statistics; artificial bee colony algorithm; heuristic optimization; iterated greedy algorithm; swarm intelligence; team orienteering problem with time windows;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence In Production And Logistics Systems (CIPLS), 2013 IEEE Workshop on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIPLS.2013.6595206
Filename :
6595206
Link To Document :
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