Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism-Reference-Cited by-同舟云学术

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Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Hong Haokai¹,Jiang Min¹,Feng Liang²,Lin Qiuzhen³,Tan Kay Chen⁴

Affiliation:

1. School of Informatics, Xiamen University,Fujian,China

2. College of Computer Science, Chongqing University,Chongqing,China

3. College of Computer Science and Software Engineering, Shenzhen University,Guangdong,China

4. The Hong Kong Polytechnic University,Department of Computing,Hong Kong SAR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870430.pdf?arnumber=9870430

Reference32 articles.

1. Individual-Based Transfer Learning for Dynamic Multiobjective Optimization

2. A Fast Dynamic Evolutionary Multiobjective Algorithm via Manifold Transfer Learning

3. A faster algorithm for calculating hypervolume

4. A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables

5. A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation

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