The optimisation of reaction rate parameters for chemical kinetic modelling of combustion using genetic algorithms

Harris, S.D.; Elliott, L.; Ingham, D.B.; Pourkashanian, Mohamed; Wilson, C. W.

doi:10.1016/s0045-7825(99)00466-1

Cited by 63 publications

(59 citation statements)

References 2 publications

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“…Power was transmitted to the cylinder by two drive belts (8). The motor's rotational speed was controlled by a frequency converter (5).…”

Section: Methodsmentioning

confidence: 99%

“…According to a review of the literature, genetic (evolutionary) algorithms are one of the most popular optimization methods. Genetic algorithms are widely used to solve complex (nonlinear and multidimensional) problems in various fields of scientific research [5][6][7][8][9][10], because they eliminate many of the errors that are encountered in classical optimization methods. The main advantages of genetic algorithms include the multi-directional search for a solution space, resistance to local extrema, the exclusive use of objective functions in calculations (without the need for additional information, such as derivatives of the objective function), and their applicability for solving multi-modal and multiple-criterion problems [4].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Separation Parameters and Indicators of Separation Efficiency of Buckwheat Seeds

2017

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Abstract:The separation parameters and the indicators of separation efficiency for buckwheat seeds and impurities that are difficult to separate were optimized with the use of self-designed software based on genetic algorithms. The results of the calculations differed significantly from the suboptimal values determined in previous studies. The optimal values of the indicator of separation efficiency were higher; whereas the values of the indicator of buckwheat seed loss were significantly lower. The optimal working parameters for a seed separator in order to promote separation efficiency were determined.

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“…Power was transmitted to the cylinder by two drive belts (8). The motor's rotational speed was controlled by a frequency converter (5).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of the Separation Parameters and Indicators of Separation Efficiency of Buckwheat Seeds

2017

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“…The non-linear least-square Marquardt algorithm [22] was used to estimate the eight model parameters, and the objective function is expressed as [22,23]:…”

Section: Development Of the Model Equationsmentioning

confidence: 99%

A Six-Lump Kinetic Model for Olefin Hydrogenation, Hydroisomerization and Aromatization in FCC Gasoline Hydro-Upgrading

et al. 2008

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A six-lump kinetic model was developed to predict the yields of the target products i-paraffin and aromatics in the FCC gasoline hydro-upgrading process aiming at olefin reduction and octane preservation. The experimental data obtained in a fixed bed reactor were used to estimate the eight kinetic constants and the corresponding activation energies in the model using the Marquardt algorithm. The model testing results revealed that the model predictions were in good agreement with the experimental results, indicating the excellent reliability of the model. Furthermore, the model could be extended to different feedstocks and wide operating conditions. The optimal operating conditions for producing Euro IV clean gasoline with the desired olefin and aromatics contents were determined on the basis of the predicted product yields and verified by the experimental results.

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“…A powerful inversion technique, based on a single objective genetic algorithm, was developed in [5] in order to determine the reaction rate parameters for the combustion of a hydrogen/air mixture in a perfectly stirred reactor (PSR). However, many practical combustors, such as internal combustion engines, rely on premixed flame propagation.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore the single objective optimisation technique proposed in [5] is further extended to a multi objective genetic algorithm in order to include into the optimisation process data from premixed laminar flames. The algorithm was found to provide good results for small scale test problem, i.e.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm

Elliott

Ingham

Kyne

et al. 2003

Genetic and Evolutionary Computation — GECCO 2003

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Abstract. In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objective structure of the genetic algorithm employed allows for the incorporation of both perfectly stirred reactor and laminar premixed flame data into the inversion process, thus producing more efficient reaction mechanisms.

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The optimisation of reaction rate parameters for chemical kinetic modelling of combustion using genetic algorithms

Cited by 63 publications

References 2 publications

Optimization of the Separation Parameters and Indicators of Separation Efficiency of Buckwheat Seeds

Optimization of the Separation Parameters and Indicators of Separation Efficiency of Buckwheat Seeds

A Six-Lump Kinetic Model for Olefin Hydrogenation, Hydroisomerization and Aromatization in FCC Gasoline Hydro-Upgrading

Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm

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