Application of simple genetic algorithms in the design optimization of concrete structures

• Main Author: Balili, Alden Paul D.
• Format: text
• Published: Animo Repository 2011
• Subjects: Structural optimization; Genetic algorithms; Engineering design; Civil Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/11940
• Institution: De La Salle University

This paper discusses the application of Genetic Algorithms (GA) in the optimization of structures. The basics of GAs are introduced first and limitations of plain GA are discussed. After this, enhancements to the GA process were implemented and improvements in the GA run results were shown. The enhanced GA was then applied to the optimization of a spread footing, a post-tensioned beam and pre-tensioned beam. The constants being used for GA were tested each for its efficiency to improve the population and attain the optimal values for the GA run. It was concluded that low mutation rates, a medium size population and low penalty constants gives a better chance for the GA run of acquiring optimal values.