engleski

Optimization of Ship's Operations by Genetic Algorithm

This paper addresses optimization possibilities of cargo operations on ship in order to minimize operational costs through optimal structure of resources required. Since the setup model consists of composite objective function with several decision variables whose solution is constrained in the field Z+, methods for direct finding of optimal solution does not lead to satisfactory results. For this reason, we propose solution finding by developed genetic algorithm which yields acceptable solution in a short time. In the given solution space, genetic algorithm, by variations of different crossover methods and mutation rates, gives solution that coincides with the observed and expected results when operations of loading/unloading of general cargo ship are concerned. With obtained structure of resources allocated in the cargo operations, the minimum of operational costs is reached.

ship ; cargo operations ; optimization ; genetic algorithm

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