Optimization of Shape, Size, and Topology Design Variables in Trusses with a Genetic Algorithm

Briggs' genetic algorithm was extended in the Gillman algorithm to include shape optimization of trusses. Other contributions include value representation, different member linking, alternate genes, automatic k-factor evaluation for buckling, and the option to prevent overlapping members. The purpose of these contributions was to make optimization using a genetic algorithm more accessible to design engineers. The Gillman algorithm was demonstrated in two original examples as well as an example from a published work. The Gillman algorithm was effective in finding lighter designs.

Name thesis:degree_name

MS

Grantor dc:publisher

Brigham Young University - Provo

Author dc:creator

• Gillman, Kevin M.

• structural
• optimization
• shape
• size
• topology
• genetic
• algorithm
• truss
• Civil and Environmental Engineering

Language dc:language

English

Repository record dc:identifier

https://scholarsarchive.byu.edu/etd/233

OAI identifier oai:identifier

oai:scholarsarchive.byu.edu:etd-1232