Immune clonal selection algorithm for truss structure optimal design

In order to solve the problem of size optimization of truss structures with stress and displacement constraints, immune clonal selection algorithm was adopted in this paper. Based on immunology theory, the Elitist Strategy was introduced to improve basic immune clonal selection algorithm, and the reasonable values of coefficients were proposed for improved algorithm. Penalty function method was used to deal with violated constraints in numerical model of truss structure optimal design. Several classical problems were solved by such improved algorithm. The numerical results show that the improved algorithm with good convergence and robustness can be applied to truss structure design.