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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Vydané v:	Computer methods in applied mechanics and engineering Ročník 385; s. 114015
Hlavní autori:	Ryu, Namhee, Seo, Minsik, Min, Seungjae
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.11.2021 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
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