船舶空间优化中遗传算法的应用

Application of genetic algorithm in ship space optimization

随着海洋经济的发展,船舶朝着大型化、强动力方向发展。船舶设计工程需要考虑空间、动力、结构各方面因素,本质是一个多目标优化问题。船舶优化涉及因素越来越多,传统的基于单目标的优化解决方法已经不能适应船舶的现代设计方法。遗传算法是模拟生物自然选择进化过程的算法,能够解决多目标优化中的多组非劣解集合问题。本文设计基于遗传算法的船舶空间优化方案,给出船型、空间与阻力之间的最佳方案,最后给出仿真结果。

With the development of marine economy, the ship is developing towards large scale and strong power. Ship design engineering needs to consider space, power, structure and other elements, its essence is a multi-objective optimization problem. Ship optimization design involves more and more factors, the traditional optimization method based on single objective can not adapt to the modern design methods of modern ships. Genetic algorithm is an algorithm to simulate the evolution process of biological natural selection, which can solve the problem of multiple sets of non dominated solutions in multiobjective optimization. In this paper, a ship space optimization scheme based on genetic algorithm is designed, and the optimal scheme of ship form, space and resistance is given. Finally, the simulation results are given.