Title :
Hierarchical distributed genetic algorithms: a fuzzy logic controller design application
Author :
Kim, Jinwoo ; Zeigler, Bernard P.
Author_Institution :
Arizona Univ., Tucson, AZ, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
Unlike conventional genetic algorithms, HDGAs use a multiresolutional search scheme and change structure to achieve a goal. In this application, an HDGA investigates various configurations dynamically to find the optimal design of a fuzzy logic controller for a complex, unmanned, space-based plant
Keywords :
aerospace control; aerospace expert systems; artificial satellites; control system CAD; distributed algorithms; fuzzy control; fuzzy logic; genetic algorithms; intelligent control; intelligent design assistants; neurocontrollers; search problems; complex unmanned space-based plant; dynamic configuration investigation; fuzzy logic controller design application; hierarchical distributed genetic algorithms; multiresolutional search scheme; optimal design; Algorithm design and analysis; Artificial intelligence; Computational intelligence; Computer architecture; Distributed computing; Fuzzy logic; Genetic algorithms; Machine intelligence; Nonhomogeneous media; Optimal control;
Journal_Title :
IEEE Expert
