DocumentCode
1897664
Title
Underwater Robot Path Planning Methods Based on Immunization Genetic Algorithms
Author
Ren Shaoxuan
Author_Institution
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Path planning of intelligent underwater robot is a key problem in robot research field. This article puts forward a method of underwater robot path planning based on immunization genetic algorithms. This method combines genetic algorithms and artificial immunization, which makes the path planning best. Emulation result proved it to be effective.
Keywords
genetic algorithms; intelligent robots; mobile robots; path planning; artificial immunization; immunization genetic algorithms; intelligent underwater robot; underwater robot path planning methods; Binary codes; Boundary conditions; Energy consumption; Genetics; Path planning; Robots; Vaccines;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5678199
Filename
5678199
Link To Document