Genetic and Random Search Algorithms for Optimising Vehicle Interior Noise and Vibration

International Journal of Vehicle Noise and Vibration - United Kingdom
doi 10.1504/ijvnv.2018.10014169
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Inderscience Publishers

Related search

Genetic and Random Search Algorithms for Optimising Vehicle Interior Noise and Vibration

International Journal of Vehicle Noise and Vibration
Automotive EngineeringMechanical Engineering
2018English

Optimising Training Data for ANNs With Genetic Algorithms

Hydrology and Earth System Sciences
EarthWater SciencePlanetary SciencesTechnology
2006English

Optimising Training Data for ANNs With Genetic Algorithms

Hydrology and Earth System Sciences Discussions
EarthEarth-Surface ProcessesPlanetary Sciences
2006English

Analysis of Urban Bus Body Vibration and Coupling Interior Noise

DEStech Transactions on Social Science, Education and Human Science
2019English

Contribution Analysis for Vehicle Interior Noise Using Only Response Signals

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
2013English

Genetic Algorithms and the Search for Viable String Vacua

Journal of High Energy Physics
High Energy PhysicsNuclear
2014English

Genetic Algorithms and Scatter Search: Unsuspected Potentials

Statistics and Computing
StatisticsProbabilityUncertaintyMathematicsComputational TheoryTheoretical Computer Science
1994English

Optimal Control and State Estimation for Unmanned Aerial Vehicle Under Random Vibration and Uncertainty

Measurement and Control
ControlInstrumentationApplied MathematicsOptimization
2019English

Optimization of the High-Frequency Torsional Vibration of Vehicle Driveline Systems Using Genetic Algorithms

Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics
Condensed Matter PhysicsMechanical Engineering
2002English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy