JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY
Online ISSN : 1884-6025
Print ISSN : 0285-2543
ISSN-L : 0285-2543
Fitness value of GA applied to farm work scheduling
Katsuaki OHDOIAkira OIDA
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2001 Volume 63 Issue 3 Pages 84-89

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Abstract

The method to find the optimum farm work schedule which becomes more complex according as the scale of farm management increases, was developed with Genetic Algorithm (GA), In this method, the fields that each machine should go to work were decided such that each machine has an equal working time a day and the shortest moving distance. The fitness value of GA was calculated in consideration of evaluation relevant to the time and the distance. The evaluation in reference to the distance should be taken as the shortest route. However, it was difficult to find the shortest route because the calculating time became too long. Therefore, the evaluation of distance had to be simplified. In this paper, it became clear that there was a high correlation between the evaluation of distance and the distance of the shortest route, and it was shown that the method to calculate the fitness value was valid.

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© The Japanese Society of Agricultural Machinery
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