Hybrid Artificial Bee Colony with Covariance Matrix Adaptation Evolution Strategy for Economic Load Dispatch
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings |
| Publisher | IEEE |
| Pages | 204-209 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-2153-6 |
| Publication status | Published - Jun 2019 |
Publication series
| Name | IEEE Congress on Evolutionary Computation, CEC - Proceedings |
|---|
Conference
| Title | 2019 IEEE Congress on Evolutionary Computation (CEC 2019) |
|---|---|
| Location | |
| Place | New Zealand |
| City | Wellington |
| Period | 10 - 13 June 2019 |
Link(s)
Abstract
To solve economic load dispatch problems, this paper designs a combination of artificial bee colony (ABC) and covariance matrix adaptation evolution strategy (CMA-ES). In this method, multiple variables are updated at the employed bee stage. The onlooker bee stage of the ABC method is replaced by the CMA-ES method. To begin with a good position, the CMA-ES method is initialized based on the state of employed bees of the ABC method. The proposed method is used to solve economic load dispatch problem with different sizes, and compared with three other methods. Simulation results show that the method attains better performance by combining ABC and CMA-ES. Moreover, the sensitivity of parameter settings is also discussed, and a default setting is obtained for such problems.
Research Area(s)
- Artificial bee colony, covariance matrix adaptation evolution strategy, economic load dispatch, memetic algorithm
Citation Format(s)
Hybrid Artificial Bee Colony with Covariance Matrix Adaptation Evolution Strategy for Economic Load Dispatch. / Zhang, Xin; Lou, Yang; Yuen, Shiu Yin et al.
2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. IEEE, 2019. p. 204-209 8790221 ( IEEE Congress on Evolutionary Computation, CEC - Proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
