Self-Optimization Evaluation Model about the Ship Suppliers Based on Improved Particle Swarm Optimization

Abstract

Shipbuilding is a complex process and needs plentiful suppliers. Knowing how to select ship suppliers according to the customer requirements is a pivotal task. A dynamic self-optimization evaluation model for ship suppliers is presented in this paper, which is accomplished by an improved particle swarm optimization. The experiment shows that the novel method can not only accomplish the intelligent evaluation of ship suppliers and avoid redundant experts’ dependence but also adjust the evaluation function dynamically according to the annual situations and maintain the practicability of the evaluation model.