CEC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Black-box Optimization | CEC 30D 2017 | Mean Objective Value0 | 90 | |
| Numerical Optimization | CEC 50 dimensions 2017 | Mean Objective Value0 | 37 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins6 2019 | MSS-1.034 | 10 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins5 2019 | MSS-0.67 | 10 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins4 2019 | MSS1.171 | 10 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins3 2019 | MSS1.568 | 10 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins2 2019 | MSS-1.082 | 10 | |
| Multi-Task Multi-Objective Optimization | CEC MTMOO ins1 2019 | MSS1.031 | 10 | |
| Global Optimization | CEC Composition Functions 2017 | CF1 Mean1.94 | 10 | |
| Numerical Optimization | CEC D=20 2022 | Friedman Rank3.17 | 8 | |
| Numerical Optimization | CEC D=10 2022 | Friedman Rank3.79 | 8 | |
| Numerical Optimization | CEC 2022 | Friedman Average2.35 | 8 | |
| Numerical Optimization | CEC F12 2022 | Average2,944.2 | 8 | |
| Numerical Optimization | CEC F11 2022 | Average Performance2,880.4 | 8 | |
| Numerical Optimization | CEC F10 2022 | Average Value2,507.4 | 8 | |
| Numerical Optimization | CEC F9 2022 | Average Performance2,427.2 | 8 | |
| Numerical Optimization | CEC F8 2022 | Average2,226.8 | 8 | |
| Numerical Optimization | CEC F7 2022 | Avg Objective Value2,040.2 | 8 | |
| Numerical Optimization | CEC F6 2022 | Average1,928.6 | 8 | |
| Numerical Optimization | CEC F5 2022 | Average Value902.53 | 8 | |
| Numerical Optimization | CEC F4 2022 | Average931.88 | 8 | |
| Numerical Optimization | CEC F3 2022 | Average Score600 | 8 | |
| Numerical Optimization | CEC F2 2022 | Average445.26 | 8 | |
| Numerical Optimization | CEC F1 2022 | Average Value303.56 | 8 | |
| Continuous Optimization | CEC 100-dimensional functions 2017 | Avg Rank2.263 | 5 |
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