DocumentCode
305382
Title
Virus-evolutionary genetic algorithm with subpopulations: application to trajectory generation of redundant manipulator through energy optimization
Author
Arakawa, Takemasa ; Kubota, Naoyuki ; Fukuda, Toshio
Author_Institution
Dept. of Micro Syst. Eng., Nagoya Univ., Japan
Volume
3
fYear
1996
fDate
14-17 Oct 1996
Firstpage
1930
Abstract
In this paper, we apply virus-evolutionary genetic algorithm with subpopulations (VEGAS) to trajectory generation of redundant manipulator through energy optimization. VEGAS is based on the virus theory of evolution, it has subpopulations that usually evolve independently. A virus infects host individuals in the same subpopulation. And a virus sometimes immigrates from a subpopulation to another subpopulation. The energy-optimized trajectory has successfully been found by VEGAS
Keywords
genetic algorithms; path planning; redundancy; VEGAS; collision avoidance; energy optimization; redundant manipulator; subpopulation; subpopulations; trajectory generation; virus-evolutionary genetic algorithm; Collision avoidance; Computer simulation; DNA; Genetic algorithms; Genetic engineering; Genetic mutations; Manipulators; Orbital robotics; Power engineering and energy; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.565413
Filename
565413
Link To Document