A Binary Superior Tracking Artificial Bee Colony with Dynamic Cauchy Mutation for Feature Selection
This paper aims to propose an improved learning algorithm for feature selection, termed as binary superior tracking artificial bee colony with dynamic Cauchy mutation (BSTABC-DCM). To enhance exploitation capacity, a binary learning strategy is proposed to enable each bee to learn from the superior...
Saved in:
| Main Authors: | Xianghua Chu, Shuxiang Li, Da Gao, Wei Zhao, Jianshuang Cui, Linya Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8864315 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Angle Modulated Artificial Bee Colony Algorithms for Feature Selection
by: Gürcan Yavuz, et al.
Published: (2016-01-01) -
A Hybrid Artificial Bee Colony Algorithm for the Service Selection Problem
by: Changsheng Zhang, et al.
Published: (2014-01-01) -
Projects Selection In Knapsack Problem By Using Artificial Bee Colony Algorithm
by: Armaneesa Naaman Hasoon
Published: (2023-01-01) -
A Hybrid Enhancement Artificial Bee Colony Algorithm for High-efficiency Service Selection
by: ZHANG Hong-guo, et al.
Published: (2021-04-01) -
PID Controller Parameter Optimized by Reformative Artificial Bee Colony Algorithm
by: Hualong Du, et al.
Published: (2022-01-01)