Research on cooperative scheduling at container terminal under uncertainties

Abstract

Collaborative scheduling problem of container terminal is one of multi-objective, multi-restraint, multi-resources, dynamic NP-combination optimization problems. This problem is made more difficult by some uncertain factors, such as equipment failure, changeable climate and so on. It is difficult for General analytical method to solve it, so the mobile Agent system can intelligently percept sudden changes of environment in real time and then make intelligent decisions during the rapid development of wireless communication network. In this paper, to reduce interfering of uncertain factors and coordinate the conflict of optimization purposes, based on analyzing and coupling uncertain factors, a hybrid distributed model of cooperative scheduling system is established through adopting computer architecture-based Agent by the bottom-up modeling approach combined with the central processor and bus technology. © 2013 Springer-Verlag.