ABSTRACT
The technique using genetic algorithms (GAs) is an optimization approach based on Darwin's principle of natural selection and population genetics. It is often applied as an alternative tool for traditional optimization methods, that is, methods based on calculus or enumeration. This chapter presents the main ideas and principles of GAs. The GA can be seen as a general tool for solving optimization problems. One of its benefits is that most problems can be solved without modifications in the algorithm or problem at hand. The chapter investigates two drying process: drying with a maximum remaining enzymatic activity, which is important for drying of biological products, and drying with a maximum decrease in moisture content, with a limit input of energy and additional temperature constraints. It then discusses the general problem of controller tuning, including neural and fuzzy controllers, as an important step for reliable and robust drying operations.
