Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator-Reference-Cited by-同舟云学术

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Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator

Published:2024-06 Issue:3 Volume:8 Page:2554-2569
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Wu Xiaolong¹^ORCID,Wang Wei¹^ORCID,Yang Hongyan¹^ORCID,Han Honggui¹^ORCID,Qiao Junfei¹

Affiliation:

1. Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing Artificial Intelligence Institute and Beijing Laboratory for Intelligent Environmental Protection, Beijing University of Technology, Beijing, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Beijing Outstanding Young Scientist Program

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10538459/10457856.pdf?arnumber=10457856

Reference51 articles.

1. Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems

2. A Cooperative Memetic Algorithm with Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling

3. A Neighborhood Regression Optimization Algorithm for Computationally Expensive Optimization Problems

4. A fast and elitist multiobjective genetic algorithm: NSGA-II

5. Handling multiple objectives with particle swarm optimization

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