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A novel model-based multi-objective evolutionary algorithm

Published in International Journal of Computing Science and Mathematics • Jan 1, 2016
NobleIDNI6P018W387R138S122
Authors:
Maocai Wang
,
Guangming Dai
,
Lei Peng

Abstract

In multi-objective evolutionary algorithm (MOEA), modelling method is a crucial part. Moreover, variable linkages enable the modelling process more complex for multi-objective optimisation problems. The Karush-Kulm-Tucker condition shows that the Pareto set of a continuous MOP with m objectives is a...

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