Cost Optimization of Industrial Building using Genetic Algorithm

The study presents the simultaneous cost, topology and standard cross-section optimization of single storey industrial steel building structures. The considered structures are consisted from main portal frames, which are mutually connected with purlins. The optimization is performed by the Genetic algorithm (GA) approach. The proposed algorithm minimizes the structure’s material and labour costs, determines the optimal topology with the optimal number of portal frames and purlins as well as the optimal standard cross-sections of steel members.