Applications of Genetic Algorithms

For now, let us return to reviewing some fields of application of genetic algorithms and then have a more detailed look at the problem of model inversion as an example of an abundant and hard optimization problem. 

Model Inversion The problem of model inversion arises in many fields, applied and scientific, where one tries to find a model that phenomenologically approximates observational data. This can range from (again) financial applications 

---

Johnston, R.L., et al., Application of genetic algorithms in nanoscience Cluster geometry optimisation. Applications of Evolutionary Computing, Proceedings, Lecture Notes in Computer Science, Springer, Berlin, 2279, 92, 2002. 

Karr, C. L. and L. M. Freeman. Industrial Applications of Genetic Algorithms. CRC Press, Boca Raton, FL (1998). 

L. Weber, Applications of Genetic Algorithms in Molecular Diversity , Curr. Opin. Chem. Biol 1998, 2, 381-385. 

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. 

Present Trends in the Application of Genetic Algorithms to Heterogeneous Catalysis... 

Wang, M., and Zheng, C. (1998). "Application of genetic algorithms and simulated annealing in groundwater management formulation and comparison." J. AWRA, 34(3), 519-530. 

Rein, G., Lautenberger, C., Fernandez-Pello, A.C., Torero, J.L., and Urban, D.L. Application of genetic algorithms and thermogravimetry to determine the kinetics of polyurethane foam in smoldering combustion. Combustion and Flame, 2006. 146, 95-108. 

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. 

The main focus of this article is the application of genetic algorithm (GA) techniques to solve crystal structures of molecular materials directly from powder diffraction data (Sect. 2). In this application, the aim is to find the set of atomic positions (x,y, z) [knowing the unit cell a, b, c, a, y and space group S] that give the optimal representation of an experimental powder diffraction pattern. In such applications, the population in the evolutionary algorithm com-... 

Other Applications of Genetic Algorithms in Crystallographic Areas... 

Leardi, R. (1994). Application of Genetic Algorithms to Feature Selection Under Full Validation Conditions and to Outlier Detection. J.Chemom., 8,65-79. 

Shum, Y.S and Gong, D.C. (2006). The Application of Genetic Algorithm in the Development of Preventive Maintenance Analytic Model. The International Journal of Advanced Manufacturing Technology. Vol. 32, pp. 169-183. 

Hemmateenejad, B., Miri, R., Akhond, M. and Shamsipur, M. (2002) QSAR study of the calcium channel antagonist activity of some recently synthesized dihydropyridine derivatives. An application of genetic algorithm for variable selection in MLR and PLS methods. Chemom. Intell. Lab. Syst., 64, 91-99. 

Hou, T.-J., Wang, J. and Xu, X. (1999) Applications of genetic algorithms on the structure-activity correlation study of a group of nonnucleoside HIV-1 inhibitors. Chemom, Intell. Lab. Syst., 45, 303-310. 

Leardi, R. (1994) Application of genetic algorithms to feature selection under full validation conditions and to outlier detection. /. Chemom., 8, 65-79. 

D QSAR Application of Genetic Algorithms and Partial Least Squares to Variable Selection of Topological Indices,... 

Leardi, R., Application of genetic algorithm-PLS for feature selection in spectral data sets, J. Chemom., 14, 643-655, 2000. 

Data obtained from Izadifar, M. 2005. Application of genetic algorithm for optimization of vegetable oil hydrogenation process Journal of Food Engineering. 78 (2007) 1 -8. 

A third approach is based on the application of genetic algorithm methods to the study of the evolutionary development of a reaction mechanism, to the attainment of given goals (flux control, for example) in a mechanism, and to the determination of a reaction mechanism and rate coefficients by comparison with experiments. 

Applications of Genetic Algorithms to the Determination of Reaction Mechanisms... 

---