Exploiting Trade-Off Criteria to Improve the Efficiency of Genetic Multi-Objective Optimisation Algorithms

The highly competitive nature of the chemical industry requires the optimisation of the design and exploitation of (bio-)chemical processes with respect to multiple, often conflicting objectives. Genetic algorithms are widely used in the context of multi-objective optimisation due to their overall s...

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Bibliographic Details

Published in:	Frontiers in Chemical Engineering
Main Authors:	Viviane De Buck, Philippe Nimmegeers, Ihab Hashem, Carlos André Muñoz López, Jan Van Impe
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-03-01
Subjects:	multi-objective optimisation NSGA-II evolutionary algorithms trade-off PIT-region t-domination
Online Access:	https://www.frontiersin.org/articles/10.3389/fceng.2021.582123/full