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
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;
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
DOI :
10.1109/ICEC.1994.350010