STRUCTURAL OPTIMIZATION USING ARTIFICIAL IMMUNE SYSTEM

Abstract

In this paper a new evolutionary computational paradigm – Artificial Immune System (AIS) is explored for the optimal design of truss structures. CLONal selection ALGorithm (CLONALG) which is imitated by the basic principle of adaptive immune response to the virus stimulus is one of the extensively used models of AIS. Since optimal design of truss structures involves multi modal search space and being CLONALG proved very effective in solving multi modal optimization problems, the algorithm is employed for the task of optimization. The effectiveness of the algorithm is demonstrated for 2D/3D truss problems. The results are compared with other conventional mathematical approaches and evolutionary techniques.