Study on principal particulars of a fishing vessel with the maximum fishery profit by genetic algorithms
2008
Wei, Q.(Kagoshima Univ. (Japan). Faculty of Fisheries) | Nagamatsu, T.
Genetic algorithm GA is widely applied to the non-linear optimum problems in the various technological fields. Fishing vessels are faced to serious problems such as low benefits, low fish prices, lack of young fishermen and so on. In the present study, the principal particulars of the optimum fishing vessel which earns the highest benefit in a year are studied by using the genetic algorithm. At first, two GA methods, bit-string GA and real coded GA, are examined their applicability to the present problem. The results indicate that GA is a useful tool for study on the principal particulars of the fishing vessel at the initial design stage and there is not much to choose between two GA methods. The optimum ship form is dependent on the ship speed and its block coefficient becomes smaller with increase of her speed. A promising solution for the problem of high fuel price is shown to adopt low ship speed and large gross tonnage.
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