Int J Performability Eng ›› 2017, Vol. 13 ›› Issue (7): 1123-1131.doi: 10.23940/ijpe.17.07.p15.11231131

• Original articles • Previous Articles     Next Articles

Balanced Optimal Allocation of Resources based on Hybrid Algorithm of Ant Colony and Fish Swarm in Manufacturing Grid

Baosheng Wanga, * and Hongyan Haob   

  1. aResearch Department of Intelligent Manufacturing Equipment, Nanjing Institute of Technology, Nanjing 211167, China
    bSchool of Material Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Abstract: Because manufacturing grid resources have diversity, heterogeneity and dynamic characteristics, the existing resource retrieval and allocation methods do not take into account the load balance and quality of service simultaneously. In this paper, processing time and processing costs are taken as main factors to construct objective function, into which load balance factor is introduced. Also, completion quality and the reliability are taken as constraint conditions. Thus, a model for resources optimal allocation is proposed to satisfy service quality and maintain the balance of resource load. Further, a hybrid algorithm of ant colony and fish swarm is presented to solve the new model, and solution steps are given in detail. Simulation experiments are carried out in combination with the practical application. Resources load balance is improved significantly with the presented model, which shows that the method is efficient.


Submitted on September 29, 2017; Revised on October 9, 2017; Accepted on October 15, 2017
References: 17