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Genetic algorithms lead optimization

P., Whipple, D. A., Soloweiij, J. E., Chowd-hary, S., Treasurywala, A. M. (1996) Application of genetic algorithm to combinatorial synthesis a computational approach to lead identification and lead optimization. J Am Chem Sot 118, 1669-1676. [Pg.317]

Singh J, Ator MA, Jaeger EP, Allen MP, Whipple DA, Soloweij JE, Chowdhary S, Treasurywala AM, Application of genetic algorithms to combinatorial synthesis A computational approach to lead identification and lead optimization, J. Am. Chem. Soc., 118 1669-1676, 1996. [Pg.142]

The effect of the particle size was also considered with the multiobjective optimization, using a genetic algorithm [81]. The particle size has a dual effect on the operation of an SMB unit. Larger particles allow a lower back pressure but lead to a poorer column efficiency. The effect of the particle size in the case of a 5-column SMB process is illustrated in Figure 18.43. The largest particle size considered in the study dp — 40jflow rate and the bad column efficiency limits the productivity. The use of an in-... [Pg.927]

Genetic Algorithms They are effective search methods in wide space that eventually lead to the orientation towards finding an optimal answer. [Pg.214]


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See also in sourсe #XX -- [ Pg.172 , Pg.173 ]




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Lead optimization

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