A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm
Joint Authors
Zhang, Shuai
Zhang, Wenyu
Xu, Yangbing
Yang, Yushu
Yu, Dejian
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With an increasing number of manufacturing services, the means by which to select and compose these manufacturing services have become a challenging problem.
It can be regarded as a multiobjective optimization problem that involves a variety of conflicting quality of service (QoS) attributes.
In this study, a multiobjective optimization model of manufacturing service composition is presented that is based on QoS and an environmental index.
Next, the skyline operator is applied to reduce the solution space.
And then a new method called improved Flower Pollination Algorithm (FPA) is proposed for solving the problem of manufacturing service selection and composition.
The improved FPA enhances the performance of basic FPA by combining the latter with crossover and mutation operators of the Differential Evolution (DE) algorithm.
Finally, a case study is conducted to compare the proposed method with other evolutionary algorithms, including the Genetic Algorithm, DE, basic FPA, and extended FPA.
The experimental results reveal that the proposed method performs best at solving the problem of manufacturing service selection and composition.
American Psychological Association (APA)
Zhang, Wenyu& Yang, Yushu& Zhang, Shuai& Yu, Dejian& Xu, Yangbing. 2016. A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112556
Modern Language Association (MLA)
Zhang, Wenyu…[et al.]. A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1112556
American Medical Association (AMA)
Zhang, Wenyu& Yang, Yushu& Zhang, Shuai& Yu, Dejian& Xu, Yangbing. A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112556
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112556