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An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems

  • Published:2021-10 Issue:10 Volume:17 Page:6624-6633
  • ISSN:1551-3203
  • Container-title:IEEE Transactions on Industrial Informatics
  • language:
  • Short-container-title:IEEE Trans. Ind. Inf.

Author:

Xue YongfeiORCID,Wang YalinORCID,Sun BeiORCID,Peng Xiangyu

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HCSMBO: A hybrid cat swarm and monarch butterfly optimization algorithm for energy consumption optimization in industrial internet of things;Alexandria Engineering Journal;2024-09

2. Characteristics-Capturing Neural Dynamics for Solving Time-Dependent Nonlinear Equations With Periodic Noise;IEEE Transactions on Cognitive and Developmental Systems;2023

3. Research on Intrusion Detection Method for Industrial Control Systems based on Improved APSO-MKBoost-C Algorithm;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

4. A Local Density-Based Abnormal Case Removal Method for Industrial Operational Optimization under the CBR Framework;Machines;2022-06-12
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