A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the recently introduced concept of fuzzy dominance to hybridize the well-known Nelder Mead Simplex algorithm for better exploitation with a multi-objective genetic algorithm. A coevolutionary approach is proposed to adapt the fuzzy dominance parameters. Additional changes to the previous approach have also been incorporated
doi:10.1145/1068009.1068073
dblp:conf/gecco/KoduruDWRL05
fatcat:2bmpopex4bhapgwc2lbbs2ux4a