Title :
The study of a new multiagent-based genetic algorithm
Author :
Hong-Zhong Deng; Yue-Jin Tan; Ji Li
Author_Institution :
Syst. Eng. Res. Inst., Nat. Univ. of Defense Technol., Changsha, China
fDate :
6/24/1905 12:00:00 AM
Abstract :
Through the analysis and studying of the simple genetic algorithm (SGA) and its research state, the authors suggest a new multiagent-based genetic algorithm, define the environment of SGA, present the agent structure, genetic operator, target/evaluation function, and flow chat. Finally, they verify this new GA with two test functions. The results show that this new GA have many merits and advantages.
Keywords :
"Genetic algorithms","Algorithm design and analysis","Adaptive systems","Genetic engineering","Testing","Design optimization","Fault diagnosis","Control systems","Filters","Acceleration"
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167398
