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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 ...
IEEEARES
2008
IEEE
14 years 2 months ago
Fault Effects in FlexRay-Based Networks with Hybrid Topology
This paper investigates fault effects and error propagation in a FlexRay-based network with hybrid topology that includes a bus subnetwork and a star subnetwork. The investigation...
Mehdi Dehbashi, Vahid Lari, Seyed Ghassem Miremadi...
AI
1998
Springer
14 years 12 hour ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
CCR
2006
148views more  CCR 2006»
13 years 7 months ago
NetScale: scalable time-stepped hybrid simulation of large IP networks
This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing flows and netw...
Laurent Fournié, Dohy Hong, Florent Perisse
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
13 years 2 months ago
Hybrid moment computation algorithm for biochemical reaction networks
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
Yun-Bo Zhao, Jongrae Kim, João Pedro Hespan...