Optimization Analysis of USV Based on Genetic Algorithm

USV's hull form optimization is a multi-objective optimization problem, which involves coordination and unification of performance in all aspects. To determine the sensitivity to overall optimization including rapidity, maneuverability, seakeeping and overturning of the USV was an important aspect in the design process. This paper took a new type of unmanned gliding-hydrofoil craft as the research object, by studying the performance of USV, a comprehensive optimization mathematical model of four performance was established. The optimal design variables, objective functions and constraints of the USV were also determined. The optimization program was programmed by genetic algorithm, and the optimization analysis of USV was carried out. In this paper, the performance of each performance objective function was studied with the number of iterations, and different weight schemes were selected to study the influence of four performance on the sensitivity of weight setting. The results showed that when the genetic algebra was 3000 generations, the optimization result was the best; The weight setting had a significant effect on the integrated optimization system, and the rapidity had the greatest impact, the second was maneuverability, and the optimization result could provide some reference value for the preliminary design and optimization analysis of the USV.