Multi-objective topology optimization incorporating an adaptive weighed-sum method and a configuration-based clustering scheme

A novel multi-objective topology optimization method is developed by simultaneously considering the diversity and uniformity of the optimum solutions in the objective and design variable spaces. To guarantee the diversity of the solutions, a configuration-based clustering scheme is developed and app...

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Bibliographic Details
Published in:	Computer methods in applied mechanics and engineering Vol. 385; p. 114015
Main Authors:	Ryu, Namhee, Seo, Minsik, Min, Seungjae
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.11.2021 Elsevier BV
Subjects:	Adaptive weight Clustering Clustering scheme Compromise programming method Configurations Multi-objective optimization Multiple objective analysis Optimization Pareto front Pareto optimum Topology optimization Clustering scheme Topology optimization Compromise programming method Pareto front Multi-objective optimization Adaptive weight
ISSN:	0045-7825, 1879-2138
Online Access:	Get full text
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