GA-optimization for rapid prototype system demonstrationAn application of the Genetic Algorithm (GA) is discussed. A novel scheme of Hierarchical GA was developed to solve complicated engineering problems which require optimization of a large number of parameters with high precision. High level GAs search for few parameters which are much more sensitive to the system performance. Low level GAs search in more detail and employ a greater number of parameters for further optimization. Therefore, the complexity of the search is decreased and the computing resources are used more efficiently.
Document ID
19950005111
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kim, Jinwoo (Arizona Univ. Tucson, AZ, United States)
Zeigler, Bernard P. (Arizona Univ. Tucson, AZ, United States)
Date Acquired
September 6, 2013
Publication Date
March 1, 1994
Publication Information
Publication: NASA. Johnson Space Center, Conference on Intelligent Robotics in Field, Factory, Service and Space (CIRFFSS 1994), Volume 2