Since the HTST approach preserves vitamins and improves sensory features in dairy products.
Higher Temperature Short Time pasteurization (HTST) is favoured in dairy plants over other pasteurization techniques. Thus this paper describes the Genetic algorithm approach that would certainly reduce manual effort and give an accurate result. It is very difficult to achieve an optimal gain like this as up to the present time the gain of the controller has to be manually tuned by hit and trial. And the oven can be made to start instantly without wasting time.
Any temperature control system like oven take a certain time to heat up initially, But with the help of a genetic algorithm, this time taken to heat up can be reduced. It works the same as the combination of genes in biological processes. Genetic algorithm is a powerful software tool for obtaining accurate results. A comparison approach is also made with the other methods of tuning like Ziegler-Nicholas. So, this delay or transportation lag is overcome with the help of controller tuning using Genetic Algorithm. Transfer of heat inside an oven requires a delay or transportation lag. Optimal tuning plays an important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. A very important advancement was made when it was decided to use the frequency response of a process instead of its time response, in this way a bigger degree of automation was obtained. The first attempt to automate the tuning of controllers was based on the time response of a process, but this approach had the drawback of requiring a lot of user interaction. The evolutionary strategies have won an important place, thanks to their flexibility. During the last years, the use of intelligent strategies for tuning of the controller has been growing.
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