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GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
14 years 1 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
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 rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
NA
2008
144views more  NA 2008»
13 years 7 months ago
Another hybrid conjugate gradient algorithm for unconstrained optimization
Another hybrid conjugate gradient algorithm is subject to analysis. The parameter k is computed as a convex combination of HS k (Hestenes-Stiefel) and DY k (Dai-Yuan) algorithms, i...
Neculai Andrei
CORR
2007
Springer
83views Education» more  CORR 2007»
13 years 7 months ago
Simulation of Phase Combinations in Shape Memory Alloys Patches by Hybrid Optimization Methods
In this paper, phase combinations among martensitic variants in shape memory alloys patches and bars are simulated by a hybrid optimization methodology. The mathematical model is ...
Linxiang X. Wang, Roderick V. N. Melnik
WSC
2008
13 years 9 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 26 days ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano