Optimal Design of Single Layer Domes Using Meta-Heuristic Algorithms; a Comparative Study

Abstract

Domes are lightweight and elegant structures that provide cost-effective solutions to cover large areas. The meta-heuristic algorithms presented in this paper carry out the optimum design of dome structures. The serviceability and strength requirements are considered in the design problem of network, Schwedler and lamella domes as specified in LRFD-AISC. The optimum solutions of the design problem are obtained using particle swarm optimizer, ant colony optimization, harmony search, Big Bang-Big Crunch, heuristic particle swarm ant colony optimization and charged system search. The solutions of these algorithms are presented to demonstrate the effectiveness and the strength of each algorithm. Comparison of the results of the dome designs obtained by these algorithms illustrates the good performance of the heuristic particle swarm, ant colony optimization and charged system search method compared to other heuristic algorithms. Also, the Schwedler dome is found to have the most economical configuration.