Multiobjective optimum design of rotor-bearing systems with dynamic constraints using immune-genetic algorithm

In this paper, the combined optimization algorithm (immune-genetic algorith m) is proposed for multioptimization problems by introducing the capability of the immune system to the genetic algorithm. The optimizing ability of t he proposed combined algorithm is identified by comparing the result of opt imization with sharing genetic algorithm for the two-dimensional multipeak function. Also the combined algorithm is applied to minimize the total weig ht of the shaft and the transmitted forces at the bearings. The results sho w that the combined algorithm can reduce both the weights of the shaft and the transmitted forces at the bearing with dynamic constraints.