The optimisation of reaction rate parameters for chemical kinetic modelling of combustion using genetic algorithms-Reference-Cited by-同舟云学术

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

Published:2000-11 Issue:8-10 Volume:190 Page:1065-1090
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

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

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference18 articles.

1. Evolutionary Algorithms in Theory and Practice;Bäck,1995

2. L.B. Booker, Intelligent behavior as an adaptation to the task environment, Doctoral Dissertation, University of Michigan, 1982

3. C.T. Bowman, R.K. Hanson, W.C. Gardiner, V. Lissianski, M. Frenklach, M. Goldenberg, G.P. Smith, GRI/MECH 2.11. An optimised detailed chemical reaction mechanism for methane combustion and NO formation and reburning, GRI Technical Report 97/0020, 1997

4. K.A. De Jong, An analysis of the behaviour of a class of genetic adaptive systems, Doctoral Dissertation, University of Michigan, Dissertation Abstract International 36 (1975) 5140B

5. Genetic Algorithms and Simulated Annealing,1987

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling of water gas shift reaction using neural network trained on detailed kinetic mechanisms;Chemical Engineering Journal;2024-07

2. A multi-objective optimization of three conflicting criteria in a methane tri-reforming reactor;International Journal of Hydrogen Energy;2023-02

3. A joint hydrogen and syngas chemical kinetic model optimized by particle swarm optimization;Fuel;2023-01

4. Efficient numerical methods for the optimisation of large kinetic reaction mechanisms;Combustion Theory and Modelling;2022-08-17

5. Analysis of the Applications of Particle Swarm Optimization and Genetic Algorithms on Reaction Kinetics: A Prospective Study for Advanced Oxidation Processes;ChemElectroChem;2022-06-09