Partner: M. Szczepanik


Ostatnie publikacje
1.Burczyński T., Szczepanik M., Intelligent optimal design of spatial structures, COMPUTERS AND STRUCTURES, ISSN: 0045-7949, DOI: 10.1016/j.compstruc.2013.04.029, Vol.127, pp.102-115, 2013

Streszczenie:

The paper deals with an application of the evolutionary algorithm (EA) and the particle swarm optimizer (PSO), to the optimization of shape, topology and material properties of spatial structures. Structures considered in this work are analyzed by the finite element method (FEM). Optimization criteria that are taken into account concern minimize mass and/or compliance. Numerical examples demonstrate that the method based on soft computing is a very effective technique for solving computer aided optimal design.

Słowa kluczowe:

Evolutionary algorithms, Particle swarm optimizer, Topology optimization, Finite element method, Level set method

Afiliacje autorów:

Burczyński T.-other affiliation
Szczepanik M.-other affiliation
35p.
2.Szczepanik M., Burczyński T., Swarm optimization of stiffeners locations in 2-D structures, BULLETIN OF THE POLISH ACADEMY OF SCIENCES: TECHNICAL SCIENCES, ISSN: 0239-7528, Vol.60, No.2, pp.241-246, 2012

Streszczenie:

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 plate s and shells). The structures are optimized for the stress an d displacement criteria. The numerical examples demonstrate that the method based on the swarm computation is an effective technique for solving t he computer aided optimal design. The additional comparisons of the effectiveness of the particle swarm optimizer (PSO) and evolutionary algorithms (EA) are presented.

Słowa kluczowe:

swarm algorithms, optimization, finite element method, bar s, plane stress, bending plates, shells

Afiliacje autorów:

Szczepanik M.-other affiliation
Burczyński T.-other affiliation
30p.

Lista rozdziałów w ostatnich monografiach
1.
430
Burczyński T., Poteralski A., Szczepanik M., Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences, rozdział: Immune and swarm optimization of structures, Springer International Publishing Switzerland, Computational Methods in Applied Sciences 36, D.Greiner et al. (Eds.), pp.295-308, 2015

Prace konferencyjne
1.Poteralski A., Szczepanik M., Górski R., Burczyński T., Swarm and Immune Computing of Dynamically Loaded Reinforced Structures, ICAISC, 14th International Conference on Artificial Intelligence and Soft Computing, 2015-06-14/06-18, Zakopane (PL), DOI: 10.1007/978-3-319-19369-4_43, Vol.9120, pp.483-494, 2015

Streszczenie:

In the paper an application of the particle swarm optimizer (PSO) and artificial immune system (AIS) to optimization problems is presented. Reinfored structures considered in this work are dynamically loaded and analyzed by the coupled boundary and finite element method (BEM/FEM). The metod is applied to optimize location of stiffeners in plates using criteria depended on displacements. The main advantage of the particle swarm optimizer, contrary to gradient methods of optimization, is the fact that it does not need any information about the gradient of fitness function. A comparison of the PSO, artificial immune system and evolutionary algorithm (EA) is also shown and it proves the efficiency of the former over other artificial intelligence methods of optimization. The coupled BEM/FEM, which is used to analyse structures, is very accu-rate in analysis and attractive in optimization tasks. It is because of problem dimensionality reduction in comparison with more frequently used domain methods, like for instance the FEM. Numerical examples demonstrate that the combination of the PSO with the BEM/FEM is an effective technique for solving computer aided optimal design problems, both with respect to accuracy and computational resources.

Słowa kluczowe:

Particle swarm optimization, Immune optimization, Boundary element method, Finite element method, Dynamics

Afiliacje autorów:

Poteralski A.-other affiliation
Szczepanik M.-other affiliation
Górski R.-other affiliation
Burczyński T.-other affiliation
2.Poteralski A., Szczepanik M., Burczyński T., Immune Optimal Design of 2-D and 3-D Structures, ICAISC, 14th International Conference on Artificial Intelligence and Soft Computing, 2015-06-14/06-18, Zakopane (PL), DOI: 10.1007/978-3-319-19369-4_42, Vol.9120, pp.471-482, 2015

Streszczenie:

The paper deals with an application of the artificial immune system (AIS) to the optimization of shape, topology and material properties of 2-D and 3-D structures. Structures considered in this work are analyzed by the finite element method (FEM). Optimization criteria that are taken into account concern minimize mass of the structure. Numerical examples demonstrate that the method based on soft computing is a very effective technique for solving computer aided optimal design.

Słowa kluczowe:

Artificial immune system (AIS), Optimization Finite element method (FEM), Computational intelligence, Shape and topology optimization

Afiliacje autorów:

Poteralski A.-other affiliation
Szczepanik M.-other affiliation
Burczyński T.-other affiliation
3.Szczepanik M., Poteralski A., Długosz A., Kuś W., Burczyński T., Optimization of thermomechanical structures using PSO, CMM 2011, 19th International Conference on Computer Methods in Mechanics, 2011-05-09/05-12, Warszawa (PL), pp.204-1-7, 2011
4.Szczepanik M., Kuś W., Burczyński T., Swarm optimization of stiffeners locations in 2-D structures, CMM 2011, 19th International Conference on Computer Methods in Mechanics, 2011-05-09/05-12, Warszawa (PL), DOI: 10.2478/v10175-012-0032-7, pp.173-1-7, 2011

Streszczenie:

The paper is devoted to an 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 swarm computation is an effective technique for solving computer aided optimal design.

Słowa kluczowe:

swarm algorithms, optimization, finite element method (FEM), bars, plane stress, bending plates, shells

Afiliacje autorów:

Szczepanik M.-other affiliation
Kuś W.-Silesian University of Technology (PL)
Burczyński T.-other affiliation