Using escape operations in gene-set genetic algorithms

Hong, Tzung-Pei; Wu, Min-Thai; Tung, Ya-Fang; Wang, Shyue-Liang

doi:10.1109/icsmc.2007.4414016

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2016

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“…In the mutation operation, if a short segment is selected in a mutation possibility and replaced by another segment, then the gene-set based GA is achieved [27]. …”

Section: Methodsmentioning

confidence: 99%

Optimization to the Culture Conditions forPhellinusProduction with Regression Analysis and Gene-Set Based Genetic Algorithm

Xin

Wang

et al. 2016

BioMed Research International

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Phellinus is a kind of fungus and is known as one of the elemental components in drugs to avoid cancers. With the purpose of finding optimized culture conditions for Phellinus production in the laboratory, plenty of experiments focusing on single factor were operated and large scale of experimental data were generated. In this work, we use the data collected from experiments for regression analysis, and then a mathematical model of predicting Phellinus production is achieved. Subsequently, a gene-set based genetic algorithm is developed to optimize the values of parameters involved in culture conditions, including inoculum size, PH value, initial liquid volume, temperature, seed age, fermentation time, and rotation speed. These optimized values of the parameters have accordance with biological experimental results, which indicate that our method has a good predictability for culture conditions optimization.

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“…In the mutation operation, if a short segment is selected in a mutation possibility and replaced by another segment, then the gene-set based GA is achieved [27]. …”

Section: Methodsmentioning

confidence: 99%

Optimization to the Culture Conditions forPhellinusProduction with Regression Analysis and Gene-Set Based Genetic Algorithm

Xin

Wang

et al. 2016

BioMed Research International

View full text Add to dashboard Cite

show abstract

Using escape operations in gene-set genetic algorithms

Cited by 1 publication

References 11 publications

Optimization to the Culture Conditions forPhellinusProduction with Regression Analysis and Gene-Set Based Genetic Algorithm

Optimization to the Culture Conditions forPhellinusProduction with Regression Analysis and Gene-Set Based Genetic Algorithm

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