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|Title:||Split Genetic Algorithm for the Container Stowage Problem||Authors:||Leenawong, Chartchai
|Issue Date:||2012||Publisher:||Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
|Source:||Chartchai Leenawong, Worrasit Chiraratwaro (2012) Split Genetic Algorithm for the Container Stowage Problem. University of the Thai Chamber of Commerce Journal Vol.32 No.4.||Journal:||University of the Thai Chamber of Commerce Journal||Abstract:||
In this research, the container stowage for multiple destinations is investigated. Due to the competitiveness in transportation industries, business owners/managers seek to minimize operating costs and expenses in order to gain competitive advantages in the market. A modified genetic algorithm for solving this particular problem is proposed and subsequently called the Split Genetic Algorithm (SGA). It is an alternative way for sorting the containers by destination to keep the ship balanced without re-handling after unloading containers at each destination. The authors have developed a computer program custom made for the problem using the proposed algorithm.
|URI:||https://scholar.utcc.ac.th/handle/6626976254/307||ISSN:||0125-2437||Rights:||This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.|
|Appears in Collections:||JEO: Journal Articles|
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