DocumentCode :
143612
Title :
Scatter search algorithm for the cross-dock door assignment problem
Author :
Tarhini, Abbas ; Makki, Jawad ; Chamseddine, Mohamad Mohamad Jaafar
Author_Institution :
Dept. of Comput. Sci., American Univ. of Sci. & Technol., Beirut, Lebanon
fYear :
2014
fDate :
13-16 April 2014
Firstpage :
444
Lastpage :
450
Abstract :
Cross-docking is a practice in logistics in which shipments are directly moved from an inbound truck into an outbound truck. A recognized problem in this domain is the assignment of trucks to doors in a way that the distance to be traveled between the doors is minimized. This problem is known as the Cross-Dock Door Assignment Problem (CDAP). A lot of research has been conducted regarding this topic still, up to our knowledge, none used Scatter Search (SS). In this paper, we implemented this evolutionary metaheuristic algorithm and tested it, then compared the results with those of another evolutionary algorithm, Genetic Algorithm (GA). The results indicate that the SS outperformed the GA.
Keywords :
evolutionary computation; goods distribution; logistics; sea ports; CDAP; cross-dock door assignment problem; cross-docking; evolutionary metaheuristic algorithm; genetic algorithm; logistics; scatter search algorithm; shipments; Conferences; Genetic algorithms; Indexes; Load modeling; Shape; Sociology; Statistics; Cross-docking; Door Assignment Problem; Logistics; Metaheuristics; Scatter Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
Conference_Location :
Beirut
Type :
conf
DOI :
10.1109/MELCON.2014.6820575
Filename :
6820575
Link To Document :
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