Correlation-aware manufacturing service composition model using an extended flower pollination algorithm
Author:
Affiliation:
1. School of Information, Zhejiang University of Finance and Economics , Hangzhou, China
Funder
National Natural Science Foundation of China
Zhejiang Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2017.1402137
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1. Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems
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4. A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
5. Adaptive Service Selection According to the Service Density in Multiple Qos Aspects
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