Imperial College London
Portrait Picture

George JACKSON BSc DPhil FRSC FRS

Faculty of Engineering, Department of Chemical Engineering

Professor of Chemical Physics
 
 
 
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Contact

 

+44 (0)20 7594 5640g.jackson Website

 
 
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Location

 

RODH 605Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Lee:2022:10.1016/B978-0-323-85159-6.50204-9,
author = {Lee, YS and Jackson, G and Galindo, A and Adjiman, CS},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-323-85159-6.50204-9},
pages = {1225--1230},
title = {Development of a Bi-Objective Optimisation Framework for Mixed-Integer Nonlinear Programming Problems and Application to Molecular Design},
url = {http://dx.doi.org/10.1016/B978-0-323-85159-6.50204-9},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - We present a novel algorithm (SDNBI) to tackle the numerical challenges associated with the solution of bi-objective mixed-integer nonlinear programming problems (BO- MINLPs), with a focus on the exploration of nonconvex regions of the Pareto front. The performance of the algorithm as measured by the accuracy of the resulting approximation of the Pareto front in the disconnected and nonconvex domain of Pareto points is assessed relative to two multi-objective optimisation (MOO) approaches: the sandwich algorithm (SD) and the modified normal boundary intersection (mNBI) method. The features of these MOO algorithms are evaluated using two published benchmark models and a molecular design problem. Initial results indicate that the new algorithm presented outperforms both the SD and the mNBI method in convex, nonconvex-continuous, combinatorial problems, both in terms of computational cost and of the overall quality of the Pareto-optimal set.
AU  - Lee,YS
AU  - Jackson,G
AU  - Galindo,A
AU  - Adjiman,CS
DO  - 10.1016/B978-0-323-85159-6.50204-9
EP  - 1230
PY  - 2022///
SP  - 1225
TI  - Development of a Bi-Objective Optimisation Framework for Mixed-Integer Nonlinear Programming Problems and Application to Molecular Design
T1  - Computer Aided Chemical Engineering
UR  - http://dx.doi.org/10.1016/B978-0-323-85159-6.50204-9
ER  -
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