Detalle de: NBI-RPRGM for multi-objective optimization design of bio-processes

In this work we consider multi-objective optimization problems arising from the domain of the design of nonlinear bioprocesses. The goals are to maximize the product profit and to minimize simultaneously the Fixed Capital Investment, by imposing additional constraints in order to ensure cell viability. As a result, the Pareto-optimal set is obtained for Random Perturbation of Reduced Gradient Method (RPRGM) by solving a set of nonlinear programming subproblems of multi objective optimization using the recent Normal Boundary Intersection (NBI), the objective and constraints functions are assumed to be differentiable.