Abstract

This paper is devoted to the application of hybrid evolutionary algorithm (HEA) in optimization of structures under dynamical loads. The HEA algorithms is a coupling of evolutionary and gradient algorithms, additionally the artificial neural network is used to control the selected parameters of this algorithm. The NURBS curves were used to model the shape of the structure. Three special types of chromosomes were tested to control the number of internal voids in the case topology optimization. The boundary element method [2] was need to compute the fitness function. The fitness function was expressed as the function depending on the displacements, stresses, mass, eigenfrequencies and compliance. Several tests were made [7], more interesting ones are presented in this paper.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.