Article

Tuning Genetic Algorithm Parameters to Improve Convergence Time

2011-01-01

Abstract excerpt

Fermentation processes by nature are complex, time‐varying, and highly nonlinear. As dynamic systems their modeling and further high‐quality control are a serious challenge. The conventional optimization methods cannot overcome the fermentation processes peculiarities and do not lead to a satisfying solution. As an alternative, genetic algorithms as a stochastic global optimization method can be applied. For the p...

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Literature Corpus work: 1252a3ae-da1c-5666-9b8a-d40e51b85968
DOI: 10.1155/2011/646917

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