Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach

This work addresses the optimization of an engine mount design from a multi-objective scenario. Our methodology is divided into three phases: phase one focuses on data collection through computer simulations. The objectives considered during the analyses are: total mass, first natural frequency and...

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Bibliografiske detaljer
Hovedforfatter:	ALVARADO-INIESTA, ALEJANDRO
Andre forfattere:	Guillén Anaya, Luis Gonzalo, Rodríguez-Picón, Luis Alberto, Ñeco Caberta, Raúl
Format:	Artículo
Sprog:	English
Udgivet:	2018
Fag:	Structural optimization Multi-objective optimization Genetic programming Finite element analysis Decision making Research Subject Categories::MATHEMATICS::Applied mathematics::Optimization, systems theory Research Subject Categories::TECHNOLOGY::Industrial engineering and economy::Manufacturing engineering and work sciences::Manufacturing engineering info:eu-repo/classification/cti/7
Online adgang:	https://doi.org/10.1007/s10845-018-1432-9 https://link.springer.com/article/10.1007/s10845-018-1432-9#citeas
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Multi-objective optimization of an engine mount design by means of memetic genetic programming and a local exploration approach

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