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Online Continuous Variation Operator Configuration for Decomposition-based Evolutionary Multi-objective Optimization
- Citation Author(s):
-
JiazhengLi
Xiangtan University - Submitted by:
- Jiazheng Li
- Last updated:
- Sun, 03/03/2024 - 04:27
- DOI:
- 10.21227/aq1k-q041
- License:
67 Views- Categories:
- Keywords:
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Abstract
This is a test dataset for comparison with the latest multi-objective evolutionary algorithms. We have split the experiment into two groups in high and low dimensions respectively, and the experimental results are outstanding. We used IGD as the performance metric, and the data in parentheses are the std of 20 independent repetitions of the experiment and were analyzed for significance.
Instructions:
We make public the high-resolution vector graphics used in our paper here.
Documentation
| Attachment | Size |
|---|---|
 Action space.pdf | 127.53 KB |
| Fig-ae.pdf | 53.68 KB |
| DQN.pdf | 89.76 KB |
| FIG-III.pdf | 59.68 KB |
| IGDSPEED.pdf | 49.04 KB |
| MDP.pdf | 143.18 KB |
| PBI.pdf | 52.3 KB |
