Optimal design of 2-D frames using a genetic algorithm
In this paper, we present a genetic algorithm (GA) based optimization for the design of 2-D steel frames. The approach presented in this paper uses GAs as a tool to achieve discrete optimized designs. Frames are designed to satisfy the requirements of AISC-LRFD and AISC-ASD specifications. In this paper, we employ a group selection mechanism, discuss a adapting crossover operator, and provide recommendations on penalty function selection. We compare the differences between optimized designs obtained using AISC-LRFD and AISC-ASD through an example. In addition, a comparison is presented between the proposed genetic design procedure and a classical continuous optimization method based on the optimality criterion.
Proceedings of the International Workshop on Optimal Performance of Civil Infrastructure Systems
Pezeshk, S., Camp, C., & Chen, D. (1997). Optimal design of 2-D frames using a genetic algorithm. Proceedings of the International Workshop on Optimal Performance of Civil Infrastructure Systems, 155-168. Retrieved from https://digitalcommons.memphis.edu/facpubs/13207