@inproceedings{7ab262007f47497e84007a9476088d6e,
title = "Resource allocation based on prospect theory in cloud manufacturing environment",
abstract = "In cloud manufacturing (CMfg) environment, a wide range of manufacturing resources are integrated through the network, to provide customers services with high-quality and low-cost safely and reliably. The problem of resource allocation in cloud manufacturing environment is the combination optimization problem of manufacturing tasks to resource providers. Considering the expectations of different customers, we have proposed an integer non-linear programming model based on prospect theory. An improved genetic algorithm has been put forward to solve the model. Moreover the results of the numerical examples show the effectiveness of the approach proposed in this paper in terms of the quality of solution.",
keywords = "Cloud manufacturing, Genetic algorithm, Prospect theory, Resource allocation",
author = "Wei He and Shichao Luan and Guozhu Jia and Hengshan Zong",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Computer Systems, Electronics and Control, ICCSEC 2017 ; Conference date: 25-12-2017 Through 27-12-2017",
year = "2018",
month = aug,
day = "24",
doi = "10.1109/ICCSEC.2017.8446962",
language = "英语",
isbn = "9781538635735",
series = "2017 International Conference on Computer Systems, Electronics and Control, ICCSEC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1329--1332",
booktitle = "2017 International Conference on Computer Systems, Electronics and Control, ICCSEC 2017",
address = "美国",
}