Application of hybrid evolutionary algorithms to low exhaust emission diesel engine design

Engineering Optimization

Volumn 40, Issue 1, 2008, Pages 1-16

  Jeong, S ^a   Obayashi, S ^a   Minemura, Y ^b  

^a TOHOKU UNIVERSITY   (Japan)

^b TOSHIBA CORPORATION   (Japan)

Author keywords

Combustion chamber design; Data mining; Hybrid evolutionary algorithm; Low exhaust emission; Self organising map (SOM)

Indexed keywords

COMBUSTION CHAMBERS; COMPUTER AIDED DESIGN; DIESEL ENGINES; GLOBAL OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; SELF ORGANIZING MAPS;

COMBUSTION CHAMBER DESIGN; COMPUTATIONAL COSTS; HYBRID EVOLUTIONARY ALGORITHMS; LOW EXHAUST EMISSION;

EVOLUTIONARY ALGORITHMS;

EID: 38349182991     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150701561155     Document Type: Article

References (22)

1. Alvarez-Benitez, J.E., Everson R.E. andFieldsend J.E., 2005. A MOPSO algorithm based exclusively on Pareto dominance concepts. In: 3rd International conference on evolutionary multi-criterion optimization, 459-473.
2. Eberhart, R. and Shi. Y., 1998. Comparison between genetic algorithms and particle swarm, optimization. In: 7th Annual conference on evolutionary programming, 611-619.
3. Eshelman, L.J., Mathias, K.E. and Shaffer, D., 1993. Real-coded genetic algorithms and interval-schemata. Foundation of genetic algorithms, 2, 187-202.
4. Eudaptics Software GmbH. Available from: http://www.eudaptics.de/ somine/index.php?sprache=en [accessed 13 April 2006].
5. Eyzat, P. and Guibet, J.C., 1968. A new look at nitrogen oxides formation in internal combustion engine. SAE Paper, 680124.
6. Goldberg, D.E., 1989. Genetic algorithms in search, optimization & machine learning. Reading, MA: Addison-Wesley.
7. Goldberg, D.E. and Deb. K., 1991. A comparison of selection schemes used in genetic algorithms. Foundation of genetic algorithms, 1, 69-93.
8. Habib, S.J. and Al-Kazemi, B.S., 2005. Comparative study between the internal behavior of GA and PSO through problem-specific distance functions. In: Congress on evolutionary computation, 2190-2195.
9. Holland, J.H., 1975. Adaptation in natural and artificial system. Ann Arbor, MI: MIT Press.
10. Jain, A. K., Murty, M.N. and Flynn, P.J, 1999. Data clustering: a review. Association for Computing, machinery computing survey, 31(2), 264-323.
11. Kennedy, J. and Eberthart, R., 1995. Particle swarm optimization. In: 4th IEEE International conference on neural networks, 1942-1948.
12. Kohonen, T., 1995. Self-organizing maps. Berlin: Springer.
13. Livengood, J.C. and Wu, P.C., 1955. Correlation of autoignition phenomena in internal combustion engines and rapid compression machines. In: 5th International symposium on combustion, 347-356.
14. Michalewicz, Z., 1996. Genetic Algorithms + Data Structures = Evolution Programs, 3rd ed. Berlin: Springer.
15. Nagle, J. and Strickland-Constable, R.F., 1962. Oxidation of carbon between 1000-2000 degree. In: 5th Carbon conference, volume 1, 154-164.
16. Ono, I. and Kobayashi, S., 1997. A real-coded genetic algorithm for function optimization using unimodal normal distribution crossover. In: 7th International conference on genetic algorithms, 246-253.
17. Takagi, T., Fukuyama, Y., Okamoto, T. and Nakano, Y., 1994. Numerical simulation of mixing and combustion in transient sprays. In: COMODIA 94, 397-402.
18. Veldhuizen, D.V. and Lamont, G., 1998. Multiobjective evolutionary algorithms research: A history and analysis, Air Force Institute of Technology, Wright-Patterson. AFB, OH, Technical Report TR-98-03.
19. Wakisaka, T., Shimatomo, Y., Isshiki, Y., Noda, T., Matsui, A. and Akamatsu, S., 1994. Numerical analysis of spray phenomena in fuel injection engines. In: COMODIA 94, 403-409.
20. Wakisaka, T., Shimamoto, Y., Isshiki, Y., Sumi, N., Tamura, K. and Modien R.M., 1990. Analysis of the effects of incylinder flow during intake stroke on the flow characteristics near compression TDC in four-stoke cycle engines. In: COMODIA 90, 487-492.
21. Wakisaka, T., Takeuchi, S., Imamura, F., Ibaraki, K. and Isshiki, Y., 1998. Numerical analysis of diesel spray impinging on combustion chamber walls by means of a discrete droplet/liquid-film model. In: COMODIA 98, 462-492.
22. Zitzler, E., 1999. Evolutionary Algorithms for multiobjective optimization: methods and application. PhD thesis, Swiss Federal Institute of Technology (ETH), Zurich.