Genetic annealing model

Finally, paradigms frequently have the look of a sensible refuge in a chaotic sea of competing ideas. Monophyly is portrayed in precisely this way even if several alternative refuges are lurking on the horizon. For example, Carl Woese s alternative, which he calls the genetic annealing model (Woese,... 

Several methods have been developed to aid in the selection of descriptors to create a QSAR model. The use of brute computational force to test every possible combination of the above problem is wasteful. Methods such as the Stepwise Searches (45), Simulated Annealing (94), and Genetic Algorithms... 

Linear Models. Variable selection approaches can be applied in combination with both linear and nonlinear optimization algorithms. Exhaustive analysis of all possible combinations of descriptor subsets to find a specific subset of variables that affords the best correlation with the target property is practically impossible because of the combinatorial nature of this problem. Thus, stochastic sampling approaches such as genetic or evolutionary algorithms (GA or EA) or simulated annealing (SA) are employed. To illustrate one such application we shall consider the GA-PLS method, which was implemented as follows (136). 

The literature is full of examples of many types of conformational sampling algorithms [17-20]. Some of the principal ones are the model building approach [21], genetic algorithms [22, 23], the Monte Carlo (MC) [24] and simulated annealing [25] protocols. 

Laquerbe, C Laborde, J.C. Soares, S. Floquet, P. Pibouleau L. Domenech, S. Synthesis of RTD models via stochastic procedures simulated annealing and genetic algorithms. Comput. Chem. Eng. 2001, 25, 1169-1183. 

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