Automatic generation of UAV configuration by using Evolutionary Algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents an automatic design method of UAV configurations using EA (Evolutionary Algorithm). Aerodynamic configuration as well as the design variables which include the parameters necessary for sizing are optimized. In automatic generation of configuration, the four principal components are defined and the combination of them are randomly selected. The design variables are optimized evaluating an objective function which reflects design requirements and the limits. Some examples show that the possibility to design a unique UAV which cannot be designed easily by human designers.

Original languageEnglish
Title of host publicationCollection of Technical Papers - InfoTech at Aerospace
Subtitle of host publicationAdvancing Contemporary Aerospace Technologies and Their Integration
Pages1580-1584
Number of pages5
Publication statusPublished - Dec 1 2005
EventInfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration - Arlington, VA, United States
Duration: Sep 26 2005Sep 29 2005

Publication series

NameCollection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration
Volume3

Other

OtherInfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration
CountryUnited States
CityArlington, VA
Period9/26/059/29/05

Fingerprint

Unmanned aerial vehicles (UAV)
Evolutionary algorithms
Aerodynamic configurations

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Nagasaki, S., Higashino, S. I., & Sakurai, A. (2005). Automatic generation of UAV configuration by using Evolutionary Algorithm. In Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration (pp. 1580-1584). (Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration; Vol. 3).

Automatic generation of UAV configuration by using Evolutionary Algorithm. / Nagasaki, Shuji; Higashino, Shin Ichiro; Sakurai, Akira.

Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration. 2005. p. 1580-1584 (Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nagasaki, S, Higashino, SI & Sakurai, A 2005, Automatic generation of UAV configuration by using Evolutionary Algorithm. in Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration. Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration, vol. 3, pp. 1580-1584, InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration, Arlington, VA, United States, 9/26/05.
Nagasaki S, Higashino SI, Sakurai A. Automatic generation of UAV configuration by using Evolutionary Algorithm. In Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration. 2005. p. 1580-1584. (Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration).
Nagasaki, Shuji ; Higashino, Shin Ichiro ; Sakurai, Akira. / Automatic generation of UAV configuration by using Evolutionary Algorithm. Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration. 2005. pp. 1580-1584 (Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration).
@inproceedings{f567361222ca4487b6fc87a9ba26a525,
title = "Automatic generation of UAV configuration by using Evolutionary Algorithm",
abstract = "This paper presents an automatic design method of UAV configurations using EA (Evolutionary Algorithm). Aerodynamic configuration as well as the design variables which include the parameters necessary for sizing are optimized. In automatic generation of configuration, the four principal components are defined and the combination of them are randomly selected. The design variables are optimized evaluating an objective function which reflects design requirements and the limits. Some examples show that the possibility to design a unique UAV which cannot be designed easily by human designers.",
author = "Shuji Nagasaki and Higashino, {Shin Ichiro} and Akira Sakurai",
year = "2005",
month = "12",
day = "1",
language = "English",
isbn = "1563477394",
series = "Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration",
pages = "1580--1584",
booktitle = "Collection of Technical Papers - InfoTech at Aerospace",

}

TY - GEN

T1 - Automatic generation of UAV configuration by using Evolutionary Algorithm

AU - Nagasaki, Shuji

AU - Higashino, Shin Ichiro

AU - Sakurai, Akira

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This paper presents an automatic design method of UAV configurations using EA (Evolutionary Algorithm). Aerodynamic configuration as well as the design variables which include the parameters necessary for sizing are optimized. In automatic generation of configuration, the four principal components are defined and the combination of them are randomly selected. The design variables are optimized evaluating an objective function which reflects design requirements and the limits. Some examples show that the possibility to design a unique UAV which cannot be designed easily by human designers.

AB - This paper presents an automatic design method of UAV configurations using EA (Evolutionary Algorithm). Aerodynamic configuration as well as the design variables which include the parameters necessary for sizing are optimized. In automatic generation of configuration, the four principal components are defined and the combination of them are randomly selected. The design variables are optimized evaluating an objective function which reflects design requirements and the limits. Some examples show that the possibility to design a unique UAV which cannot be designed easily by human designers.

UR - http://www.scopus.com/inward/record.url?scp=33748704312&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33748704312&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33748704312

SN - 1563477394

SN - 9781563477393

T3 - Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration

SP - 1580

EP - 1584

BT - Collection of Technical Papers - InfoTech at Aerospace

ER -