Application of a modified MOPSO algorithm and multi-layer artificial neural network in centrifugal pump optimization
Author:
Affiliation:
1. National Research Center of Pumps, Jiangsu University, Zhenjiang, P.R. China
2. Jiangsu Key Laboratory of Green Process Equipment, Zhenjiang, P.R. China
3. Shenyang Blower Group Nuclear Pump Co. Ltd, Shenyang, P.R. China
Funder
Natural Science Foundation of Jiangsu Province
Natural Science Foundation of China
Primary Research & Development Plan of Jiangsu Province
Jiangsu Key Laboratory of Green Process Equipment
Postgraduate Research & Practice Innovation Program of Jiangsu Province
China Scholarship Council
Publisher
Informa UK Limited
Subject
Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications
Link
https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.2015585
Reference37 articles.
1. Clerc, Maurice. 1999. “The swarm and the queen: towards a deterministic and adaptive particle swarm optimization.” In Proceedings of the 1999 congress on evolutionary computation-CEC99 (Cat. No. 99TH8406). Vol. 3. IEEE.
2. Application of Multipoint Optimization to the Design of Turbomachinery Blades
3. Application of modified NSGA-II algorithm to Combined Economic and Emission Dispatch problem
4. Eberhart, Russell, and James Kennedy. 1995. “A New Optimizer Using Particle Swarm Theory.” In Proceedings of the Sixth International Symposium on Micro Machine and Human Science (MHS'95), 39–43. Piscataway, NJ: IEEE.
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