Equilibrium analysis of multibody dynamic systems using genetic algorithm in comparison with constrained and unconstrained optimization techniques

H. Haddadpour; R. D. Firouz-Abadi; M. M. Fotouhi

doi:10.1007/s00158-007-0176-5

Equilibrium analysis of multibody dynamic systems using genetic algorithm in comparison with constrained and unconstrained optimization techniques

H. Haddadpour, R. D. Firouz-Abadi, M. M. Fotouhi

Research output: Journal Publication › Article › peer-review

2 Citations (Scopus)

Abstract

The present paper describes a set of procedures for the solution of nonlinear equilibrium problems in complex multibody systems. To find the equilibrium position of the system, six different optimization algorithms are used to minimize the total potential energy (TPE) of the system and compared with respect to accuracy and efficiency. A computer program is developed to evaluate the equality constraints and objective function of a general multibody dynamic system to find the equilibrium condition. It is seen that the indirect methods have better results and converge faster. Also it is shown that the genetic algorithm (GA) results in a global optimum while the other methods converge to a local optimum.

Original language	English
Pages (from-to)	381-391
Number of pages	11
Journal	Structural and Multidisciplinary Optimization
Volume	36
Issue number	4
DOIs	https://doi.org/10.1007/s00158-007-0176-5
Publication status	Published - Oct 2008
Externally published	Yes

Keywords

Genetic algorithm
Multibody systems
Optimization
Static equilibrium

ASJC Scopus subject areas

Software
Control and Systems Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design
Control and Optimization

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10.1007/s00158-007-0176-5

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abstract = "The present paper describes a set of procedures for the solution of nonlinear equilibrium problems in complex multibody systems. To find the equilibrium position of the system, six different optimization algorithms are used to minimize the total potential energy (TPE) of the system and compared with respect to accuracy and efficiency. A computer program is developed to evaluate the equality constraints and objective function of a general multibody dynamic system to find the equilibrium condition. It is seen that the indirect methods have better results and converge faster. Also it is shown that the genetic algorithm (GA) results in a global optimum while the other methods converge to a local optimum.",

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AU - Haddadpour, H.

AU - Firouz-Abadi, R. D.

AU - Fotouhi, M. M.

PY - 2008/10

Y1 - 2008/10

N2 - The present paper describes a set of procedures for the solution of nonlinear equilibrium problems in complex multibody systems. To find the equilibrium position of the system, six different optimization algorithms are used to minimize the total potential energy (TPE) of the system and compared with respect to accuracy and efficiency. A computer program is developed to evaluate the equality constraints and objective function of a general multibody dynamic system to find the equilibrium condition. It is seen that the indirect methods have better results and converge faster. Also it is shown that the genetic algorithm (GA) results in a global optimum while the other methods converge to a local optimum.

AB - The present paper describes a set of procedures for the solution of nonlinear equilibrium problems in complex multibody systems. To find the equilibrium position of the system, six different optimization algorithms are used to minimize the total potential energy (TPE) of the system and compared with respect to accuracy and efficiency. A computer program is developed to evaluate the equality constraints and objective function of a general multibody dynamic system to find the equilibrium condition. It is seen that the indirect methods have better results and converge faster. Also it is shown that the genetic algorithm (GA) results in a global optimum while the other methods converge to a local optimum.

KW - Genetic algorithm

KW - Multibody systems

KW - Optimization

KW - Static equilibrium

UR - https://www.scopus.com/pages/publications/49649123504

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JF - Structural and Multidisciplinary Optimization

IS - 4

ER -

Equilibrium analysis of multibody dynamic systems using genetic algorithm in comparison with constrained and unconstrained optimization techniques

Abstract

Keywords

ASJC Scopus subject areas

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