Selection Based on Colony Fitness for Differential Evolution
Differential evolution (DE) is a competitive and reliable computing technique for continuous optimization. A diversity-based selection has been proved to be valid to improve the performance of DE. However, further study can be done. In this paper, we propose two versions of colony fitness, fitness w...
Saved in:
| Main Authors: | Zi Ming, Yang Li, Shijie Peng, Xuechao Wu, Jinyi Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8558697/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An adaptive differential evolution algorithm using fitness distance correlation and neighbourhood-based mutation strategy
by: Wei Li, et al.
Published: (2022-12-01) -
Fuzzy kernel feature selection with multi-objective differential evolution algorithm
by: Emrah Hancer
Published: (2019-10-01) -
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique
by: Subrat Kumar Nayak, et al.
Published: (2018-10-01) -
Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection
by: Sangita Baruah, et al.
Published: (2025-05-01) -
The fitness cost and benefit of phase‐separated protein deposits
by: Natalia Sanchez de Groot, et al.
Published: (2019-04-01)