抄録
A parallel distributed optimization method for the minimization of the total resource of a system with discrete elements is proposed, and a theoretical and experimental investigations are carried out in this paper. The distributed optimization algorithm consists of two processes, namely the resource reduction process and the resource addition process. In the former process, each element discards its critical resource margin with respect to global and local constraints, while in the latter process, a small amount of resources are added to all the elements. The proposed method is successively applied for optimizing truss structures, and the method is found to be very robust and suitable for parallel processing.
