Ship Design Using Heuristic Optimization Methods
نویسندگان
چکیده
Preliminary ship design is currently more art than science, heavily dependent on highly experienced naval architects. The use of genetic algorithms is proposed as a method for improving ship design through more effective exploration of the design space. Three main points are advanced in this paper. First, genetic algorithms (GA) are a highly effective tool for the exploration of large-scale, nonlinear design spaces and, when combined with gradient based search techniques, may provide a more computationally efficient means of identifying near optimal designs. Second, GA methods may provide a high utility tool that can enhance the ship design process. Third, the current design choice method of weighted objective measures of effectiveness can mask potentially useful areas of the design space.
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