Global Optimization in Engineering Design
Nonconvex optimization and its applicationsPublished 1 January 1996
Ignacio E. Grossmann
Citations198
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Systems H.D. Sherali, et al, and Alternative Bounding Approximations for the Global Optimization of Various Engineering Design Problems I.E. Swaney.
Abstract
Mathematical Programming has been of significant interest and relevance in engineering, an area that is very rich in challenging optimization problems. In particular, many design and operational probl
Keywords
Engineering
Nonconvex optimization and its applicationsPlanning of Chemical Process Networks via Global Concave Minimization
19 Citations1996Ming-Long Liu, Nikolaos V. Sahinidis +1 more
This paper proposes a branch-and-bound global optimization algorithm that exploits the concavity and separability of the objective function and the linearity of the constraint set and terminates with the exact global optimum in a finite number of iterations.
Nonconvex optimization and its applicationsA Pipe Reliability and Cost Model for an Integrated Approach Toward Designing Water Distribution Systems
14 Citations1996Hanif D. Sherali, Ernest P. Smith +1 more
Nonconvex optimization and its applicationsSolving Nonconvex Process Optimisation Problems Using Interval Subdivision Algorithms
6 Citations1996Rob Byrne, I. David L. Bogle
A particular approach to global optimisation, the class of ‘Covering Methods’, is reviewed in a general framework and the method can be used to solve general nonconvex problems and provides guarantees that solutions are globally optimal.