A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization-Reference-Cited by-同舟云学术

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A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization

Published:2024-06-30 Issue: Volume:26 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Li Yongfeng¹,Zhang Yuze¹,Ma Lijia¹,Ji Junkai²,Liu Dugang³,Leung Victor C. M.¹,Li Jianqiang²

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060

2. Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,China,518060

3. Guangdong Laboratory of Artificial Intelligence and Digital Economy,Shenzhen,China,518123

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612078.pdf?arnumber=10612078

Reference43 articles.

1. An Efficient Service-Aware Virtual Machine Scheduling Approach Based on Multi-Objective Evolutionary Algorithm

2. A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing

3. Multi-Objective Evolutionary Federated Learning

4. Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

5. Tailoring Evolutionary Algorithms to Solve the Multi-Objective Location-Routing Problem for Biomass Waste Collection

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