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http://dx.doi.org/10.5394/KINPR.2004.28.6.517

PPGA for the Optimal Load Planning of Containers  

Kim, Kil-Tae ((주)토탈소프트뱅크)
Cho, Seok-Jae (한국해양대학교 기계ㆍ정보공학)
Jin, Gang-Gyoo (한국해양대학교 기계ㆍ정보공학)
Kim, Si-Hwa (한국해양대학교 해사수송과학부)
Abstract
The container load planning is one of key factors for efficient operations of handling equipments at container ports. When the number of containers are large, finding a good solution using the conventional genetic algorithm is very time consuming. To obtain a good solution with considerably small effort, in this paper a pseudo-parallel genetic algorithm(PPGA) based on both the migration model and the ring topology is developed The performance of the PPGA is demonstrated through a test problem of determining the optimal loading sequence of the containers.
Keywords
pseudo-parallel genetic algorithm; migration model; ring topology; container load plani;
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