Abstract
Genetic algorithms are biologically inspired state of the art computing techniques, which are now very efficiently used in every aspect of ferrous metallurgy. A brief overview is presented highlighting recent research activities with relevance to the steel industry.
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References
1.
Chakraborti
N.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 333 –334 .
2.
Nath
N. K.
Mitra
K.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 335 –349 .
3.
Pettersson
F.
Saxén
H.
Hinnelä
J.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 351 –361 .
4.
Kumar
A.
Sahoo
D.
Chakraborty
S.
Chakraborti
N.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 363 –379 .
5.
Karr
C. L.
Wilson
E. L.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 381 –405 .
6.
Deo
B.
Lingamaneni
R. K.
Dey
A.
Boom
R.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 407 –419 .
7.
Santos
C. A.
Cheung
N.
Garcia
A.
Spim
J. A.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 421 –434 .
8.
Kovacic
M.
Brezocnik
M.
Turk
R.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 543 –551 .
9.
Brezocnik
M.
Kovacic
M.
Gusel
L.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 497 –508 .
10.
António
C. C.
Castro
C. F.
Sousa
L. C.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 509 –522 .
11.
Jackiewicz
J.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 523 –542 .
12.
Colac¸o
M. J.
Dulikravich
G. S.
Martin
T. J.
: Mater. Manuf. Process ., 2005 , 20 , (3) , 435 –458 .
13.
Wang
D. D.
Tieu
A. K.
D’Alessio
G.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 479 –496 .
14.
Nandan
R.
Rai
R.
Jayakanth
R.
Moitra
S.
Chakraborti
N.
Mukhopadhyay
A.
: Mater. Manuf. Process ., 2005 , 20 , (3) , 459 –478 .
15.
Mahfouf
M.
Jamei
M.
Linkens
D. A.
: Mater. Manuf. Process ., 2005 , 20 , (3 ), 553 –567 .
16.
Egorov–Yegorov
I. N.
Dulikravich
G. S.
: Mater. Manuf. Process ., 2005 , 20 , (3) , 569 –590 .
18.
Chakraborti
N.
: Surveys Math. Ind ., 2002 , 10 , (4 ), 269 –291 .
19.
Coello
C. A. Coello
Veldhuizen
D. A. Van
Lamont
G. B.
: ‘Evolutionary algorithms for solving multi–objective problems ’; 2002 , New York , Kluwer .
20.
Deb
K.
: ‘Multiobjective optimization using genetic algorithms ’; 2001 , Chichester , John Wiley .
21.
Vidyakiran
Y.
Chakraborti
N.
Mahanty
B.
: Mater. Manuf. Process ., 2005 , 20 , (4 ), 697 –715
b
22.
Chakraborti
N.
: Int. Mater. Rev ., 2004 , 49 , (3–4 ), 246 –260 .
23.
Nath
N. K.
Mitra
K.
: Ironmaking Steelmaking , 2004 , 31 , (3 ), 199 –206 .
24.
Pettersson
F.
Hinnelä
J.
Saxén
H.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 385 –399 .
25.
Helle
M.
Pettersson
F.
Chakraborti
N.
Saxén
H.
: Steel Res. Int ., 2006 , in press .
26.
Chakraborti
N.
Kumar
K. S.
Roy
G. G.
: J. Mater. Eng. Perform ., 2003 , 12 , (4 ), 430 –435 .
27.
Chakraborti
N.
Gupta
R. S. P.
Tiwari
T. K.
: Ironmaking Steelmaking , 2003 , 30 , (4 ), 273 –278 .
28.
Ghosh
S.
Mitra
K.
Basu
B.
Jategaonkar
Y. K.
: Mater. Manuf. Process ., 2004 , 19 , (3 ), 549 –562 .
29.
Mitra
K.
Ghosh
S.
: Steel GRIPS , 2005 , 3 , (2 ), 111 –119 .
30.
Chakraborti
N.
Kumar
A.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 433 –445 .
31.
Tarasiuk
J.
Wierzbanowski
K.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 463 –473 .
32.
Dewri
R.
Chakraborti
N.
: Modell. Simul. Mater. Sci. Eng ., 2005 , 13 , (2 ), 173 –183 .
33.
Rane
T. D.
Dewri
R.
Ghosh
S.
Mitra
K.
Chakraborti
N.
: J. Phase Equlibria Diffusion , 2005 , in press .
34.
Deb
K.
Reddy
A. R.
Singh
G.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 409 –432 .
35.
Sahay
S. S.
Mitra
K.
: Surf. Eng ., 2004 , 20 , (5 ), 379 –384 .
36.
Mohanty
S.
Mahanty
B.
Mohapatra
P. K. J.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 447 –462 .
37.
Deo
B. M.
Srivastava
V.
: Mater. Manuf. Process ., 2003 , 18 , (3 ), 401 –408 .
38.
Regunath
S.
Kadirkamanathan
V.
: Appl. Soft Computing , 2001 , 1 , (1 ), 91 –104 .
39.
Deo
B.
Boom
R.
: ‘Fundamentals of steelmaking metallurgy ’; 1993 , London , Prentice-Hall .