DocumentCode
2717791
Title
Prejudicial searches and the pole balancer
Author
Cotter, Neil E. ; Guillerm, Thierry M. ; Soller, Jerome B. ; Conwell, Peter R.
Author_Institution
Utah Univ., Salt Lake City, UT, USA
fYear
1991
fDate
8-14 Jul 1991
Firstpage
689
Abstract
The authors describe a modified random search method called `prejudicial searching´. This method always finds the global minimum of any continuous function on a compact domain. The authors consider the method in the context of minimizing an objective function for the pole-balancer control problem. They begin by reviewing the derivation of cooling schedules for simulated annealing. Using similar methods they prove the convergence of the `prejudicial search´ algorithm. Preliminary simulation results indicate that the random search and simulated annealing have roughly the same efficiency. The authors expect the prejudicial search to provide substantial improvements over the random search
Keywords
control system analysis; convergence of numerical methods; learning systems; robots; search problems; simulated annealing; convergence; learning systems; objective function; pole balancer; prejudicial searching; random search; robotics; simulated annealing; Cities and towns; Convergence; Cooling; Learning; Neural networks; Optimal control; Optimization methods; Probes; Search methods; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-0164-1
Type
conf
DOI
10.1109/IJCNN.1991.155419
Filename
155419
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