Dynamic optimization of fed-batch bioreactors using the ant algorithm

The ant colony algorithm, mimicking the cooperative search behavior of ants in real life, has been employed for the dynamic optimization of fed-batch bioreactors. To test the capability of this new heuristic algorithm, two we ll-known and extensively studied systems have been chosen. The algorithm ra pidly converges to optimal feed rate profiles, which maximize the overall p roduction of the desired product and the profits in a computationally effic ient and robust manner. The optimal profiles evolved are easy to implement in plant operation. The algorithm compares favorably with the other known t echniques.