Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Nonlinear Hammerstein Model Identification Using Genetic Algorithm
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Computers and Electronics in Agriculture
WSEAS TRANSACTIONS on SYSTEMS
Gasifier system identification for biomass power plants using response surface method
EE'10 Proceedings of the 5th IASME/WSEAS international conference on Energy & environment
Differential evolution application in temperature profile of fermenting process
WSEAS TRANSACTIONS on SYSTEMS
Response surface method application in gasifier system identification for biomass power plants
WSEAS TRANSACTIONS on SYSTEMS
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Application of genetic algorithms to attain the parameters of the processed cheese products is used in this paper. As in the recent years, model integrates cheese manufacturing has had considerable appeal. The economical evaluation of standaized milk for cheese making is established, thus an objective is given; to make the profit of the natural chesse. Genetic algorithms are highly eligible for investigation of multimodal space of discreteness, noisiness and complexity. Majority of Genetic Algorithms (GA) modifications to solve problematic optimization issues, find some mathematical support to the GA. Explotation of Genetic Algorithms modified optimization give advanced results as recognized.