Title :
Underwater Robot Path Planning Methods Based on Immunization Genetic Algorithms
Author_Institution :
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678199
