Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization-Reference-Cited by-同舟云学术

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Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization

Published:2024-06-30 Issue: Volume:7 Page:1-9
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Zhang Jiajia¹,Sun Chaoli¹,Zhang Guochen¹,Li Jing²,Shi Hui²,Xie Zongchao³

Affiliation:

1. School of Computer Science and Technology, Taiyuan University of Science and Technology,Taiyuan,China

2. School of Electronic Information Engineering, Taiyuan University of Science and Technology,Taiyuan,China

3. University of Melbourne,Faculty of Science,Melbourne,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611757.pdf?arnumber=10611757

Reference31 articles.

1. Evolutionary Complex Engineering Optimization: Opportunities and Challenges [Guest Editorial]

2. A Parallel Computing Framework for Large-Scale Air Traffic Flow Optimization

3. Optimal Scheduling of Casting Sequence Using Genetic Algorithms

4. LSM-tree managed storage for large-scale key-value store

5. Swarm Intelligence and Evolutionary Algorithms: Performance versus speed

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