为了实现绿色能源双体无人艇的艇型最优设计，本文对艇型设计的多目标策略和智能优化算法进行研究。首先综合考虑太阳能和风帆以及快速性、操纵性、耐波性和抗倾覆性四大性能对艇型设计的影响，建立综合优化数学模型；然后基于遗传算法改编的综合优化设计软件确定总目标函数最优情况下的遗传次数、种群规模、变异概率和交叉概率；最后采用外部分层策略对遗传算法结合粒子群和混沌算法，进行了混合算法的比较分析。结果表明，相比于单一遗传算法，混合算法的优化效果更好，且在不同载波概率情况下，遗传算法+粒子群算法的优化效果均为最佳，外部分层策略可以有效提高寻优效果。
In order to achieve the optimal design of the green energy catamaran unmanned craft, this paper studies the multi-objective strategy and intelligent optimization algorithm of unmanned craft type design. Firstly, a comprehensive optimization mathematical model is established by comprehensively considering the influence of solar energy and sail and the four performances of fastness, maneuverability, wave resistance and overturning resistance on the design of the craft type;Then the unmanned craft comprehensive optimization software based on genetic algorithm was used to determine the genetic times, population size, mutation probability and crossover probability under the optimal condition of the total objective function;Finally, the external hierarchical strategy was used to compare and analyze the hybrid algorithm combining genetic algorithm with particle swarm optimization and chaos algorithm.The results show that: compared with the single genetic algorithm, the hybrid algorithm has better optimization effect. In the case of different carrier probability, the optimization effect of the genetic algorithm + particle swarm algorithm is the best. The external layering strategy can effectively improve the optimization effect.
2021,43(3): 102-106 收稿日期：2020-01-16
DOI：10.3404/j.issn.1672-7649.2021.03.020
分类号：O1
基金项目：国家自然科学基金资助项目（51379094）；江苏省研究生创新计划（SJKY19_2611）。
作者简介：施妍(1994-)，女，硕士研究生，研究方向为无人艇优化设计及水动力性能分析
参考文献：
[1] 杨显原, 吴家鸣, 李林华. 基于最小阻力的双体无人船优化设计[J]. 舰船科学技术, 2018, 40(15): 31–36
YANG Xian-yuan, WU Jia-ming, LI Lin-hua. Optimal design of catamaran unmanned ship based on minimum resistance[J]. Ship Science and Technology, 2018, 40(15): 31–36
[2] 吴铭浩. 基于水动力性能的高速三体船船型与构型优化[D]. 武汉: 武汉理工大学, 2013.
WU Ming-hao. Optimization of ship type and configuration of high-speed trimaran based on hydrodynamic performance[D].Wuhan: Wuhan University of Technology, 2013.
[3] 张胜. 绿色能源无人艇主要功能系统开发及艇型优化设计分析[D]. 镇江: 江苏科技大学, 2016.
ZHANG Sheng. Development of the main function system of green energy unmanned boat and analysis of optimization design of the boat type[D]. Zhenjiang: Jiangsu University of Science and Technology, 2016.
[4] 马伟佳, 孙华伟, 庞永杰, 等. 无人艇艇型优化方法[J]. 交通运输工程学报, 2013, 13(1): 42–46
[5] 魏子凡. 新型水面高速无人艇性能综合优化初步研究[D]. 镇江: 江苏科技大学, 2015.
[6] 刘曼. 一种水面无人艇艇型优化及远程设计系统初步研究[D]. 镇江: 江苏科技大学, 2018.
LIU Man. Preliminary study of a surface unmanned boat type optimization and remote design system[D]. Zhenjiang: Jiangsu University of Science and Technology, 2018.
[7] BRIZZOLARAS, CURTINT, BOVIOM, et al. Concept design and hydrodynamic optimization of an innovative swath USV by CFD methods[J]. Ocean Dynamics, 2012(62): 227–237
[8] 管义锋, 吴灿, 张言才, 等. 石油平台支援船多目标总体优化方法研究[J]. 自然科学版, 2011(5): 5–8
GUAN Yi-feng, WU Can, ZHANG Yan-cai, et al. Research on multi-objective overall optimization method for oil platform support ship[J]. Journal of Jiangsu University of Science and Technology (Natural Science Edition), 2011(5): 5–8
[9] 张宝吉, 马坤, 纪卓尚. 基于遗传算法的最小阻力船型优化设计[J]. 船舶力学, 2011, 15(4): 325–331
ZHANG Bao-ji, MA Kun, JI Zhuo-shang. Optimal design of minimum resistance ship type based on genetic algorithm[J]. Journal of Ship Mechanics, 2011, 15(4): 325–331
[10] 仲向远. 基于遗传算法和粒子群优化算法的信道分配研究[D]. 长沙: 湖南大学, 2010.
ZHONG Xiang-yuan. Research on channel assignment based on genetic algorithm and particle swarm optimization algorithm[D]. Changsha: Hunan University, 2010.
