Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

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Optimization Analysis of USV Based on Genetic Algorithm

Authors
Changnan Wu, Man Liu, Songlin Yang, Shasha Gao
Corresponding Author
Changnan Wu
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.252How to use a DOI?
Keywords
USV (Unmanned Surface Vehicle); Genetic algorithm; Optimization of mathematical model; Comprehensive optimization
Abstract

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.

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/icmmcce-17.2017.252
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.252How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Changnan Wu
AU  - Man Liu
AU  - Songlin Yang
AU  - Shasha Gao
PY  - 2017/09
DA  - 2017/09
TI  - Optimization Analysis of USV Based on Genetic Algorithm
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1437
EP  - 1446
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.252
DO  - 10.2991/icmmcce-17.2017.252
ID  - Wu2017/09
ER  -