ABSTRACT
While mathematically sophisticated methods can be used to better understand and improve processes, the nonlinear nature of food processing models can make their dynamic optimization a daunting task. With contributions from a virtual who's who in the food processing industry, Optimization in Food Engineering evaluates the potential uses and limitati
TABLE OF CONTENTS
part |2 pages
Part I: Modeling: Significance, Fundamentals, and Methods
part |2 pages
PART II Optimization
part |2 pages
Part III: Optimization Studies for Different Food Processes