TY - GEN
T1 - Genetic algorithms in chemistry
T2 - Success or failure is in the genes
AU - Padgett, Clifford W.
AU - Saad, Ashraf
PY - 2009
Y1 - 2009
N2 - In many areas of chemistry there are problems to which genetic algorithms (GA's) can easily be applied. Several chemistry problems in which GA's are used will be examined. Currently they are used mainly for the generation of regression curves, protein folding, structure elucidation, parameterizations, and system optimization. Perhaps it is the GA simplicity and ease of use that has facilitated the widespread use of the soft computing method in chemistry. This paper focuses on how GA's have been modified to solve discipline specific problems in the chemical sciences.
AB - In many areas of chemistry there are problems to which genetic algorithms (GA's) can easily be applied. Several chemistry problems in which GA's are used will be examined. Currently they are used mainly for the generation of regression curves, protein folding, structure elucidation, parameterizations, and system optimization. Perhaps it is the GA simplicity and ease of use that has facilitated the widespread use of the soft computing method in chemistry. This paper focuses on how GA's have been modified to solve discipline specific problems in the chemical sciences.
UR - http://www.scopus.com/inward/record.url?scp=84903648766&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89619-7_18
DO - 10.1007/978-3-540-89619-7_18
M3 - Conference article
AN - SCOPUS:84903648766
SN - 9783540896180
T3 - Advances in Intelligent and Soft Computing
SP - 181
EP - 189
BT - Applications of Soft Computing
PB - Springer Verlag
ER -