title: Modeling and multi-criteria optimization of an industrial process for continuous lactic acid production.
abstract: The key feature of this paper is the optimization of an industrial process for continuous production of lactic acid. For this, a two-stage fermentor process integrated with cell recycling has been mathematically modeled and optimized for overall productivity, conversion, and yield simultaneously. Non-dominated sorting genetic algorithm (NSGA-II) was applied to solve the constrained multi-objective optimization problem as it is capable of finding multiple Pareto-optimal solutions in a single run, thereby avoiding the need to use a single-objective optimization several times. Compared with traditional methods, NSGA-II could find most of the solutions in the true Pareto-front and its simulation is also very direct and convenient. The effects of operating variables on the optimal solutions are discussed in detail. It was observed that we can make higher profit with an acceptable compromise in a two-stage system with greater efficiency.
authors.affiliation: Laboratory for Scientific Instrumentation, Department of Electronics, Faculty of Technology, University of Setif-1, 19000, Setif, Algeria, mokeddem_d@yahoo.fr.
authors.forename: Diab
authors.initials: D
authors.lastname: Mokeddem
authors.forename: Abdelhafid
authors.initials: A
authors.lastname: Khellaf
mesh_terms: D000465:Algorithms; D019149:Bioreactors / Q000382:microbiology*; D019344:Lactic Acid / Q000096:biosynthesis*; D008954:Models, Biological
chemical_list: D019344:Lactic Acid