A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models

Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe, Zenaida P. Lopez-Dee
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
more » ... e for faster convergence, including elitism. Our results suggest that this hybrid algorithm performs significantly better than NSGA-II, a standard algorithm for multiobjective optimization.
doi:10.1145/1068009.1068073 dblp:conf/gecco/KoduruDWRL05 fatcat:2bmpopex4bhapgwc2lbbs2ux4a