A discrete hybrid bees algorithm for service aggregation optimal selection in cloud manufacturing

Abstract

Facing to the globalization and increasing competition of manufacturing enterprise, how to integrate the existent manufacturing services in cloud manufacturing model to form the newly value-added services in order to fulfill the user requirements has become a significant issue in manufacturing area. In this context, a discrete hybrid Bees Algorithm (DHBA) is proposed to solve service optimal the selection in resource service aggregation. The problem of service aggregation with QoS global optimal is transformed into a multi-objective services aggregation optimization with QoS constraints, and DHBA is utilized to produce a near-optimal solution. A case study together with a set of simulation experiment is presented and the results demonstrate the effectiveness and feasibility of the proposed method. © 2013 Springer-Verlag.