A New Improved Ant Colony Optimization Algorithm for Truss Structures

Zhuo-qun Zhang, Zong-dong Ren, Hong-nan Li, Ning Li


Ant colony optimization (ACO) is a new meta-heuristic approach for hard combinatorial optimizations. It was first proposed for tackling the traveling salesman problem (TSP), and then successfully applied to some other fields. Since it had made great progress in the last decade, the problems of ant colony algorithms still existed to be solved. Therefore, this paper proposes a new improved ant colony optimization algorithm to solve multi classical TSP problems and uncomplicated optimization problems of truss structures. This work is regarded as a beneficial contribution to the algorithm in optimization capacity and performance.


Ant colony optimization (ACO); Traveling salesman problem (TSP); Discrete variable; Truss optimization; A new improved ACO algorithm

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