Genetic algorithm for design optimization of multibody dynamics using differential–algebraic equation integrators

Based on the general model of design optimization of multibody dynamics, a modified genetic algorithm with adaptive crossover and mutation rates is developed to find optimal design variables which satisfy the dynamic constraints and obtain optimum objective values. Generalized-α projection method an...

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Bibliographic Details
Published in:Advances in mechanical engineering Vol. 7; no. 4; p. 1
Main Author: Ding, Jieyu
Format: Journal Article
Language:English
Published: London, England SAGE Publications 01.04.2015
Sage Publications Ltd
SAGE Publishing
Subjects:
generalized-α
projection method
modified genetic algorithm
variational integrators
Design optimization
differential–algebraic equations
ISSN:1687-8132, 1687-8140
Online Access:Get full text
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Summary:Based on the general model of design optimization of multibody dynamics, a modified genetic algorithm with adaptive crossover and mutation rates is developed to find optimal design variables which satisfy the dynamic constraints and obtain optimum objective values. Generalized-α projection method and higher order variational integrators with Lagrangian polynomial and Gauss quadrature formula are used to solve differential–algebraic equations during optimization process. Efficiency and accuracy of the numerical results obtained by intelligent design optimization with different differential–algebraic equation solving methods are compared.
Bibliography:SourceType-Scholarly Journals-1
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content type line 14
ISSN:1687-8132
1687-8140
DOI:10.1177/1687814015581260