DocumentCode :
253475
Title :
Solving container loading problem with simulated annealing algorithm
Author :
Can, Okan ; Sahingoz, Ozgur Koray
Author_Institution :
Comput. Eng. Dept., Turkish Air Force Acad., Istanbul, Turkey
fYear :
2014
fDate :
19-21 Nov. 2014
Firstpage :
379
Lastpage :
383
Abstract :
In the economic world, transportation is very important and decreasing transportation cost is a challenging issue. To decrease this cost, increasing the efficiency of loading containers is very important, and this problem mainly named as Container Loading Problem(CLP). There are many researches about CLP with different type of approaches. In the literature, solutions are generally lined up as Heuristic and Meta-Heuristic approaches. Simulated annealing (SA) algorithm is a meta-heuristic approach. The most important advantage of SA is avoiding from local optimums. In this paper, a single CLP is solved by using simulated annealing algorithm. Proposed system algorithm and experimental results are presented. These results showed that SA is an acceptable solution approach for CLP type problems.
Keywords :
goods distribution; loading; simulated annealing; transportation; CLP; SA algorithm; container loading problem; metaheuristic approach; simulated annealing algorithm; transportation cost; Containers; Heuristic algorithms; Loading; Organizations; Simulated annealing; Stability analysis; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/CINTI.2014.7028705
Filename :
7028705
Link To Document :
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