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Computerschem. EngngVol.20, Suppl., pp. $419-$424, 1996 Copyright 1996 ElsevierScience Lid
 

Summary: Computerschem. EngngVol.20, Suppl., pp. $419-$424, 1996
Copyright 1996 ElsevierScience Lid
Pergamon S0098-13:~1(96)000~-4 Printed in Great Britain. All rights reserved
0098-1354/96 $15.00+0.00
A GLOBAL OPTIMIZATION METHODs aBB,
FOR PROCESS DESIGN
C.S. Adjiman, I.P. Androulakis, C.D. Maranas and C.A. Floudas 1
Department of Chemical Engineering
Princeton University
Princeton, N.J. 08544-5263
Abstract
A global optimization algorithm, aBB, for twice-differentiable NLPs is presented. It operates
within a branch-and-bound framework and requires the construction of a convex lower bound-
ing problem. A technique to generate such a valid convex underestimator for arbitrary twice-
differentiable functions is described. The czBB has been applied to a variety of problems and a
summary of the results obtained is provided.
1 Introduction
In their search to arrive at better designs for new or existing processes, chemical engineers often
need to solve nonconvex optimization problems. These problems arise in many areas, such as
computational chemistry, phase equilibrium, process unit sequencing. Despite the importance

  

Source: Androulakis, Ioannis (Yannis) - Biomedical Engineering Department & Department of Chemical and Biochemical Engineering, Rutgers University

 

Collections: Engineering; Biology and Medicine