Identification of Flexural Rigidity for Wire Rope Using Immune-Genetic Algorithm

면역-유전알고리즘에 의한 Wire Rope의 굽힘강성도 동정

An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is applied to many engineering algorithm recently. In this paper, the combined optimization algorithm is proposed for multi-objective problem by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed algorithm is identified by using multi-peak function which have many local optimums and identification of the flexural rigidity for wire rope model.