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Surrogate-Assisted Evolutionary Framework with Adaptive Knowledge Transfer for Multi-Task Optimization

  • Published:2021-10-01 Issue:4 Volume:9 Page:1930-1944
  • ISSN:2168-6750
  • Container-title:IEEE Transactions on Emerging Topics in Computing
  • language:
  • Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Huang Shijia,Zhong JinghuiORCID,Yu Wei-JieORCID

Funder

National Natural Science Foundation of China

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Guangdong Natural Science Foundation Research Team

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

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2. Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

3. Parametric-Task MAP-Elites;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

4. Dynamic Multi-Task Interactive Evolutionary Optimization Algorithm with Search Space Alignment;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

5. Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30
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