Title: Cloud manufacturing service composition with service cooperation level evaluation

Authors: Bin Xu; Yong Tang; Zhengshan Wang; Liang Shi; Jin Qi; Zhiyuan Hu

Addresses: Nanjing University of Posts and Telecommunications, Nanjing, China ' Nanjing University of Posts and Telecommunications, Nanjing, China ' Nanjing University of Posts and Telecommunications, Nanjing, China ' Zhongxing Telecommunication Equipment Corporation, Nanjing, China ' Nanjing University of Posts and Telecommunications, Nanjing, China ' Nanjing University of Posts and Telecommunications, Nanjing, China

Abstract: Cloud manufacturing is a new type of modern manufacturing mode. The Cloud Manufacturing Service Composition (CMSC) is one of the key issues of cloud manufacturing. The quality and efficiency of cloud manufacturing services are influenced by the rationality of the optimisation model. Previous studies have rarely considered the impact of cooperation between services on the quality of the manufacturing service composition. In this paper, a Service Cooperation Level (SCL) evaluation mechanism and a corresponding update model are proposed to dynamically measure the level of cooperation between services. Furthermore, a novel Cloud Manufacturing Service Composition model with Service Cooperation Level Evaluation (CMSC-SCLE) is established by introducing the SCL evaluation value as a new objective. Finally, an Improved Strength Pareto Evolutionary Algorithm 2 (ISPEA2) is proposed to solve the CMSC-SCLE problem. The experimental results show that the CMSC-SCLE model is more practical than the CMSC model. In addition, compared with four other classical multi-objective optimisation algorithms, ISPEA2 achieves better performance when solving CMSC-SCLE problem.

Keywords: cloud manufacturing service composition; improved strength pareto evolutionary algorithm 2; multi-objective optimisation; service cooperation level.

DOI: 10.1504/IJWMC.2018.097157

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.4, pp.342 - 350

Received: 28 Jun 2018
Accepted: 07 Aug 2018

Published online: 26 Dec 2018 *

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