Information Technology Reference
In-Depth Information
[5]
DeJong KA (1985) Genetic Algorithms: A 10 year perspective. Proc. of Intl Conf. on
GAs and Applications: 169-177
[6]
Grefenstette JJ (1986) Optimization of Control Parameters for GAs. IEEE Trans. On
Systems, Man, and Cybernetics 16(1): 122-128.
[7]
Herrera F and Lozano M (1996) Adaptation of Genetic Algorithm Parameters Based
on Fuzzy Logic Controllers. In: F. Herrera and J.L. Verdegay Genetic Algorithms and
Soft Computing, Physica-Verlag: 95-125.
[8]
Hesser J and Manner R (1990) Towards an optimal mutation probability for system
learning of a Boole an GAs. Proc. of the 1 st Workshop, PPSN-I: 23-32.
[9]
Knappmeier N (1993) Genetic algorithms with age structure and hybrid populations,
Final report for the research project 416, Univ. of Darmstadt.
[10]
Kubota N and Fukuda T (1997) Genetic algorithms with age structure. Soft
Computing 1: 155-161.
[11]
Lee M and Takagi H (1993) Dynamic control of genetic algorithms using fuzzy logic
techniques. In S. Forrest, editor, Proceedings of the 5th Intl. Conf. on Genetic
Algorithms, Morgan Kaufmann, San Mateo, CA.
[12]
Li T-H, Lukasius CB and Kateman G (1992) Optimization of calibration data with the
dynamic genetic algorithm, Analytica Chimica Acta, 2768: 123-134.
[13]
Palit AK and Popovic D (2000), Intelligent processing of Time series using neuro-
fuzzy adaptive Genetic approach, in Proceedings of IEEE-ICIT conference, Goa,
India, ISBN: 0-7803-3932-0, v. 1: 141-146.
[14]
Smith JE and Fogarty TC (1997) Operator and Parameter Adaptation in Genetic
algorithms
[15]
Srinivas and Patnaik (1994) Adaptive probabilities of crossover and mutation in
genetic algorithms. IEEE Trans. on Systems, Man and Cybernetics 24(4): 656-667.
[16]
Wilson SW (1986) Classifier System learning of a Boolean function. Research Memo
RIS-27r, Rowland Institute for Science, Cambridge, MA.
Search WWH ::




Custom Search