Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/307
Title: Split Genetic Algorithm for the Container Stowage Problem
Authors: Leenawong, Chartchai 
Chiraratwaro, Worrasit 
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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