In this paper a comparison between binary coding and real number encoding has been drawn for solving a one dimensional heat conduction equation with specified boundary conditions. A test problem is taken and solved using binary coding as well as real number encoding and the results obtained are compared to that of the test problem, based on which the conclusions are drawn.

1.
Goldberg, D.E., 1989, Genetic Algorithms in search, optimization and machine learning. Addison-Wesley Pub. Co
2.
Huebner, K.H, Dewhirst, D.L, Smith, D.E, Byrom, T.G, 1975, The finite element method for engineers, New York, Wiley
3.
Beck, J. V, Blackwell, B, ST. Clair R.C, 1985, Inverse Heat Conduction, Ill posed problems, New York, Wiley- Interscience publication
4.
Domkundwar, S., 1994, A course in Heat and Mass Transfer, New Delhi, Dhanpat Rai and Sons.
5.
Woodbury, K. A., 2002, “Application of Genetic Algorithms and Neural Networks to the Solution of Inverse Heat Conduction Problems: A Tutorial,” in Inverse Problems in Engineering: Theory and Practice, edited by H. R. B. Orlande, pp. 73–886.
6.
Liu, Y.X, Li, S.J, 2005, “Application of improved genetic algorithm to solving inverse heat conduction problems”, Gongcheng Lixue/Engineering Mechanics, v 22, n 3
7.
Song, Y., Wang. D, 2004, “Inverse analysis of three dimensional unsteady temperature field with genetic algorithms”, Zhang, Yuxin, Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, v 21, n 3.
8.
Raudensky
M.
,
Woodbury
K. A.
;
Kral
J.
;
Brezina
T.
,
1995
, “
Genetic algorithm in solution of inverse heat conduction problems
,”
Numerical Heat Transfer, Part B (Fundamentals)
, v
28
, n
3
, pp.
293
306
This content is only available via PDF.
You do not currently have access to this content.