Frequency-Based Optimization of Truss Dome Structures Using Ant Colony Optimization ( \({{\varvec{A}}{\varvec{C}}{\varvec{O}}}_{\mathbb{R}}\) ) with Multi-trail Pheromone Memory

This study focuses on the frequency-based optimization of truss dome structures using enhanced ant colony optimization algorithms for the continuous domain ( \({ACO}_{\mathbb{R}}\) ). The purpose is to optimize the size or size/shape of the truss structure by considering the frequency constraints. To improve the performance of the \({ACO}_{\mathbb{R}}\) algorithm, an operator, namely, multi-trail pheromone memory, is incorporated. The objective of this operator is to enhance the algorithm's capabilities for both exploration and exploitation. Two truss domes, 52-bar and 120-bar trusses, are used to evaluate the performance of the algorithm. The results achieved from the enhanced \({ACO}_{\mathbb{R}}\) algorithms are compared with the results achieved from the standard \({ACO}_{\mathbb{R}}\) . The comparative investigation demonstrates the efficacy of the enhanced \({ACO}_{\mathbb{R}}\) algorithms in achieving better optimization results.