Immune identification of piezoelectric material constants using BEM

Poteralski, Arkadiusz; Szczepanik, M.; Dziatkiewicz, Grzegorz; Kuś, Wacław; Burczyński, Tadeusz

doi:10.1080/17415977.2010.519027

Cited by 15 publications

(4 citation statements)

References 19 publications

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“…The presented approach is based on the Wierzchoń algorithm [10], but the mutation operator is changed. The Gaussian mutation is used instead of the nonuniform mutation in the presented approach [22].…”

Section: Artificial Immune Systemsmentioning

confidence: 99%

Immune and Swarm Optimization of Structures

Burczyński

Poteralski

Szczepanik

2014

Computational Methods in Applied Sciences

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The paper is devoted to applications of two bio-inspired methods: artificial immune systems and particle swarm optimizers to selected shape and topology optimization problems of structures. It contains numerical examples and comparisons of immune and swarm approaches with evolutionary optimization. IntroductionShape and topology structural optimization is a very active research area. Several competing approaches for topology optimization exist.Intelligent optimal design techniques based on evolutionary algorithms (EA) have found applications to structural optimization problems. The evolutionary methods are based on the theory of evolution. The main feature of those methods is to simulate biological processes based on heredity principles and the natural selection (the theory of evolution) to create optimal individuals (solutions) presented by single chromosomes.

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Section: Artificial Immune Systemsmentioning

confidence: 99%

Immune and Swarm Optimization of Structures

Burczyński

Poteralski

Szczepanik

2014

Computational Methods in Applied Sciences

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“…The particle swarm algorithms, similarly to the evolutionary [11][12][13] and immune algorithms [14][15][16], are developed on the basis of the mechanisms discovered in the nature. The swarm algorithms are based on the models of the animals social behaviours: moving and living in the groups.…”

Section: Particle Swarm Optimizermentioning

confidence: 99%

Swarm optimization of stiffeners locations in 2-D structures

Szczepanik

Burczyński

2012

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. The paper is devoted to the application of the swarm methods and the finite element method to optimization of the stiffeners location in the 2-D structures (plane stress, bending plates and shells). The structures are optimized for the stress and displacement criteria. The numerical examples demonstrate that the method based on the swarm computation is an effective technique for solving the computer aided optimal design. The additional comparisons of the effectiveness of the particle swarm optimizer (PSO) and evolutionary algorithms (EA) are presented.

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“…Piezoelectricity couples electrical and mechanical fields. This problem is solved by means of strong coupling method [15,20,21]. It requires the usage of coupled finite elements, which have all mechanical and electric degrees of freedom (displacements and electric potential).…”

Section: Formulation Of the Problemmentioning

confidence: 99%

Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms

Długosz¹,

Burczyński²

2012

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. In present paper an improved multi-objective evolutionary algorithm is used for Pareto optimization of selected coupled problems. Coupling of mechanical, electrical and thermal fields is considered. Boundary-value problems of the thermo-elasticity, piezoelectricity and electro-thermo-elasticity are solved by means of finite element method (FEM). Ansys Multiphysics and MSC.Mentat/Marc software are used to solve considered coupled problems. Suitable interfaces between optimization tool and the FEM software are created. Different types of functionals are formulated on the basis of results obtained from the coupled field analysis. Functionals depending on the area or volume of the structure are also proposed. Parametric curves NURBS are used to model some optimized structures. Numerical examples for exemplary three-objective optimization are presented in the paper.

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Immune identification of piezoelectric material constants using BEM

Cited by 15 publications

References 19 publications

Immune and Swarm Optimization of Structures

Immune and Swarm Optimization of Structures

Swarm optimization of stiffeners locations in 2-D structures

Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms

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