Publication Details
Title: A Multivalued Evolutionary Algorithm
Author: H.-M. Voigt, J. Born, and I. Santibanez-Koref
Group: ICSI Technical Reports
Date: April 1993
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1993/tr-93-022.pdf
Overview:
With this paper we present a Multivalued Evolutionary Algorithm (MEA) which is inspired by fuzzy set theory. The genetic representation and encoding is done in such a way that no inferences can be drawn from phenotype to genotype. This representation influences the used genetic operators. The basic operators of the algorithm will be explained and comparisons for global optimization problems with recently published results will be presented.
Bibliographic Information:
ICSI Technical Report TR-93-022
Bibliographic Reference:
H.-M. Voigt, J. Born, and I. Santibanez-Koref. A Multivalued Evolutionary Algorithm. ICSI Technical Report TR-93-022, April 1993
Author: H.-M. Voigt, J. Born, and I. Santibanez-Koref
Group: ICSI Technical Reports
Date: April 1993
PDF: ftp://ftp.icsi.berkeley.edu/pub/techreports/1993/tr-93-022.pdf
Overview:
With this paper we present a Multivalued Evolutionary Algorithm (MEA) which is inspired by fuzzy set theory. The genetic representation and encoding is done in such a way that no inferences can be drawn from phenotype to genotype. This representation influences the used genetic operators. The basic operators of the algorithm will be explained and comparisons for global optimization problems with recently published results will be presented.
Bibliographic Information:
ICSI Technical Report TR-93-022
Bibliographic Reference:
H.-M. Voigt, J. Born, and I. Santibanez-Koref. A Multivalued Evolutionary Algorithm. ICSI Technical Report TR-93-022, April 1993