A Multi-Objective Optimization Algorithm for Truss Structures

Abstract

For the optimization of multi-objective discrete variable structure optimization in civil engineering, a new improved multi-objective ant colony optimization algorithm for truss structures has been proposed in this paper. The new improved algorithm established two sets, including sets of feasible solutions and non-feasible solutions, and “the repeated solutions” was replaced with “the special solutions” to acquire the Pareto optimal front-end of the multi-objective problems. This algorithm can not only make the multi-objective ant colony algorithm better solve multi-objective problems under discrete variables, but also realize the successful application of multi-objective ant colony algorithm in truss structure. The present paper proposes a new improved multi-objective ant colony optimization algorithm for truss structures, which can provide a good performance in program design, arithmetic speed and generality of the proposed method. It is also a simple and practical, and suitable for projects in the future.