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

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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שמור ב:
מידע ביבליוגרפי
מחבר ראשי: ALVARADO-INIESTA, ALEJANDRO
מחברים אחרים: Guillén Anaya, Luis Gonzalo, Rodríguez-Picón, Luis Alberto, Ñeco Caberta, Raúl
פורמט: Artículo
שפה:English
יצא לאור: 2018
נושאים:
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
גישה מקוונת: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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