Study on Comprehensive Optimization Method in the Performance of a New Type of High-speed USV and Its Analysis
- DOI
- 10.2991/msota-16.2016.58How to use a DOI?
- Keywords
- high-speed USV; comprehensive optimization; genetic algorithm; particle swarm optimization algorithm; key variables
- Abstract
Taking the comprehensive performance of a new type of high-speed unmanned surface vehicle (USV) including its rapidity, maneuverability, seakeeping and overturning resistance into consideration, this paper establishes a mathematical model of the performance comprehensive optimization of high-speed USV. And according to the mathematical model and optimization algorithm, comprehensive optimization software based on a variety of optimization algorithms was designed and compiled to analyze the relevant calculation. The results indicates that the optimization effect of the growth mechanism is more superior to the roulette mechanism; genetic algorithm of growth mechanism and particle swarm optimization algorithm would have the best results in the optimization of the 5000th generation, and it can get the rapidity optimization system had greater influence on the total optimization system; and what's more, the optimal values of hull length and other key design variables and partial parameters of different algorithms are obtained.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zifan Wei AU - Songlin Yang AU - Shengping Jing AU - Man Liu PY - 2016/12 DA - 2016/12 TI - Study on Comprehensive Optimization Method in the Performance of a New Type of High-speed USV and Its Analysis BT - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016) PB - Atlantis Press SP - 267 EP - 271 SN - 2352-538X UR - https://doi.org/10.2991/msota-16.2016.58 DO - 10.2991/msota-16.2016.58 ID - Wei2016/12 ER -