NDLI: Fuzzy genetic algorithm for the route of container ships

Content Provider	IEEE Xplore Digital Library
Author	Tzung-Nan Chuang Chia-Tzu Lin Jung-Yuan Kung Ming-Da Lin
Copyright Year	2009
Description	Author affiliation: National Kaohsiung Marine University, China (Chia-Tzu Lin) \|\| Chinese Naval Academy, China (Jung-Yuan Kung) \|\| National University of Tainan, China (Tzung-Nan Chuang; Ming-Da Lin)
Abstract	Nowadays, liner shipping has become a constant operation model for shipping companies, and scheduling is an important issue for operation. It is well-known that a nice plan for route of container ships will bring long-term profit to companies. In the earlier works, the market demand is assumed to be crisp. However, the market demand could be uncertain in real world. Fuzzy sets theory is frequently used to deal with the uncertainty problem. On the other hand, genetic algorithm owns powerful multi-objective searching capability and it can extensively find optimal solutions through continuous copy, crossover, and mutation. Due to these advantages, in this paper, a fuzzy genetic algorithm for liner shipping planning is proposed. This algorithm not only takes market demand, shipping and berthing time of container ships into account simultaneously but also is capable of finding the most suitable route of container ships.
Starting Page	107
Ending Page	112
File Size	101229
Page Count	6
File Format	PDF
ISBN	9781424448302
DOI	10.1109/GRC.2009.5255153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Uncertainty Companies Containers route of container ships Linear programming Routing liner shipping Genetic algorithms Loading Genetic algorithm Fuzzy set theory Marine vehicles fuzzy sets theory
Content Type	Text
Resource Type	Article

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