| 유전 알고리즘을 이용한 자동차 운반선사의 해상운송계획 |
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박병주, 최형림, 강무홍 |
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| Maritime Transportation Planning of a Car Shipping Company using Genetic Algorithm |
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Byung-Joo Park, Hyung-Rim Choi, Moo-Hong Kang |
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| Abstract |
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In order to achieve a sustainable competitive advantage in the expanding maritime transportation market, most shipping companies are making every effort to reduce transportation costs. Likewise, the car shipping companies, which carry more than 80% of total car import and export logistics volume, also do their utmost for transportation cost saving. Until now many researches have been made for efficient maritime transportation, but studies for car shipping companies have rarely been made. For this reason, this study has tried to develop a maritime transportation planning support system which can help to save logistics costs and increase a competitive power of car shipping companies. To this end, instead of manual effort to solve the routing problem of car carrier vessels, this study has proposed a genetic algorithm. The performance of the genetic algorithm will be evaluated by comparing with the optimal solution of integer programming model. |
| Key Words:
genetic algorithm;car shipping company;routing problem;integer programming |
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