Title :
All binary representations are equal: but some are more equal than others
Author :
Willadsen, Kai ; Wiles, Janet
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Qld., Australia
Abstract :
The original demonstration by G. Hinton and S. Nowlan (1987) of the Baldwin effect (J. Baldwin, 1896) is well-known and serves as an interesting basis for genetic algorithm (GA) research. A variant of the original representation used a binary code, in which learning was expressed as a substitute for internalised knowledge; in this paper, the representation is altered such that learning becomes an expression of uncertainty. This change results in an interesting and non-trivial set of interactions between the GA operators and the representation, as well as enhancing the performance and robustness of the GA
Keywords :
binary codes; genetic algorithms; knowledge representation; learning (artificial intelligence); mathematical operators; uncertainty handling; Baldwin effect; binary code; binary representations; genetic algorithms; internalised knowledge; learning; operator-representation interactions; performance; problem representation; robustness; uncertainty; Biological information theory; Biology computing; Computational modeling; Computer simulation; Evolution (biology); Genetic mutations; Information technology; Learning systems; Neural networks; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006989
