title: Dynamic optimization of fed-batch bioreactors using the ant algorithm.
abstract: 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 well-known and extensively studied systems have been chosen. The algorithm rapidly converges to optimal feed rate profiles, which maximize the overall production of the desired product and the profits in a computationally efficient and robust manner. The optimal profiles evolved are easy to implement in plant operation. The algorithm compares favorably with the other known techniques.
authors.affiliation: National Chemical Laboratory, Pune 411008, India.
authors.forename: V K
authors.initials: VK
authors.lastname: Jayaraman
authors.forename: B D
authors.initials: BD
authors.lastname: Kulkarni
authors.forename: K
authors.initials: K
authors.lastname: Gupta
authors.forename: J
authors.initials: J
authors.lastname: Rajesh
authors.forename: H S
authors.initials: HS
authors.lastname: Kusumaker
mesh_terms: D000465:Algorithms; D000818:Animals; D001000:Ants; D001522:Behavior, Animal; D019149:Bioreactors; D000431:Ethanol / Q000378:metabolism; D009154:Mutation
chemical_list: D000431:Ethanol