Pages that link to "Item:Q1595381"
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The following pages link to The optimisation of reaction rate parameters for chemical kinetic modelling of combustion using genetic algorithms (Q1595381):
Displaying 6 items.
- A modified DNA genetic algorithm for parameter estimation of the 2-chlorophenol oxidation in supercritical water (Q350432) (← links)
- Machine learning of the rate constants for the reaction between alkanes and hydrogen/oxygen atom (Q2173443) (← links)
- A hybrid genetic algorithm approach to calculating chemical equilibrium and detonation parameters in condensed energetic materials (Q3424356) (← links)
- Applying of genetic algorithm for optimizing methane combustion reactions (Q4908097) (← links)
- Inverse Mathematical Modelling of Hexadecane Disintegration Reaction with Cooperative Multi-objective Genetic Algorithms (Q5053653) (← links)
- Efficient numerical methods for the optimisation of large kinetic reaction mechanisms (Q5872061) (← links)