Abstract
Genetic algorithms (GA) are powerful and efficient methods of evolutionary optimization algorithms which conduct search and optimization based on the Darwinian principles of natural genetics and natural selection. They have been extensively used in the recent past for optimization problems of the truss structures. However, for obtaining the best and robust solutions, it is necessary to choose proper GA operators depending upon the type and complexity of the problem. In this research study, genetic algorithm toolbox of MATLAB is used for the optimizing truss structures. The stress and deflections in various members of the truss are obtained using commercially available FEA software ANSYS. An interface has been established between MATLAB and ANSYS for parametric modelling of the problem. The GA operators tested are selection functions, crossover functions and mutation functions. We made use of five selections functions, six crossover functions and three mutation functions to find best set of combination which can be used further for optimization of truss structure.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
