Abstract
This paper demonstrates an application of the natural selection process to the design of structural members. Reinforced concrete beam design is used as the example to show how various chromosomes representing a design solution can be formulated. Fitter chromosomes (or better solutions) have a better chance of being selected for cross over; this in turn creates better generations. Random mutation is used to enhance the diversity of the population. The evolution progresses through several generations, and the best solution is then used in the design. The method gives reasonable results, but sometimes a local (as opposed to the global) optimized solution is obtained.
Recommended Citation
Malasri, Siripong; Halijan, D. A.; and Keough, M. L.
(1994)
"Concrete Beam Design Optimization with Genetic Algorithms,"
Journal of the Arkansas Academy of Science: Vol. 48, Article 23.
Available at:
https://scholarworks.uark.edu/jaas/vol48/iss1/23
