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
Temperature profile in fermenting process using differential evolution
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
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Model integrates cheese manufacturing has attracted considerable in recent years. Most modifications of Genetic Algorithms (GA) for solving optimization problems are to find some mathematical support to the GA. This paper applies genetic algorithms to achieve the parameters of the processed cheese products. The genetic algorithms are very suitable for searching discrete, noisy, multimodal and complex space. The economic evaluation of standaized milk for cheese making is given and the objective is to make the profit of the natural cheese. As recognized, exploitation of the optimization based on Genetic Algorithms gives advanced results.