An outer-approximation algorithm for the solution of multiparametric MINLP problems Academic Article uri icon

abstract

  • Process synthesis problems involving uncertainty can be mathematically represented as multiparametric mixed integer nonlinear programming-(mp-MINLP) models. In this paper, we present an outer-approximation algorithm for the solution of such mp-MINLPs, described by convex process models, linear in the vectors of binary variables and uncertain parameters. The algorithm follows decomposition principles, i.e., construct-ing a converging sequence of valid upper and lower bounds through the solution of parametric primal and master subproblems. The solution is characterized in different sub-domains of the uncertain parameter space by (i) linear parametric profiles, and (ii) the corresponding integer solutions. 1998 Elsevier Science Ltd. All rights reserved.

published proceedings

  • COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

  • Dua, V., & Pistikopoulos, E. N.

citation count

  • 21

complete list of authors

  • Dua, V||Pistikopoulos, EN

publication date

  • March 1998