DocumentCode
2325586
Title
An enhanced operator-oriented genetic search algorithm
Author
Stumpf, Jeffrey D. ; Feng, Xin ; Kelnhofer, Richard W.
Author_Institution
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
fYear
1994
fDate
27-29 Jun 1994
Firstpage
235
Abstract
This paper proposes a new search process incorporated into an operator-oriented genetic algorithm (GA). The new search algorithm solves problems in the context of invertible symbolic operations on a combinational finite state environment. The algorithm exploits the GA´s ability to search for solutions without regard to a priori knowledge of the problem domain. The validity of the algorithm is illustrated by solving Rubik´s cube
Keywords
genetic algorithms; search problems; Rubik´s cube; combinational finite state environment; invertible symbolic operations; operator-oriented genetic search algorithm; problem solving; Artificial intelligence; Clocks; Counting circuits; Genetics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1899-4
Type
conf
DOI
10.1109/ICEC.1994.350010
Filename
350010
Link To Document