Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models.
Carlos PozoAlberto Marín-SanguinoRui AlvesGonzalo Guillén-GosálbezLaureano JiménezAlbert SorribasPublished in: BMC Syst. Biol. (2011)
Keyphrases
- global optimization
- steady state
- dynamic model
- power law
- multiple models
- markov chain
- particle swarm optimization
- pso algorithm
- state dependent
- experimental data
- explicit expressions
- product form
- operating conditions
- scale free
- nonlinear model predictive control
- queueing networks
- queue length
- service times
- heavy traffic
- preferential attachment
- learning algorithm
- steady states
- genetic algorithm