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.
|Title of host publication||2019 IEEE Congress on Evolutionary Computation, CEC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - Jun 2019|
|Event||2019 IEEE Congress on Evolutionary Computation - Wellington, New Zealand|
Duration: 10 Jun 2019 → 13 Jun 2019
|Conference||2019 IEEE Congress on Evolutionary Computation|
|Abbreviated title||CEC 2019|
|Period||10/06/19 → 13/06/19|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported in part by the National Natural Science Foundation of China (Project No. 61603275, 61803054, 61601329), the Tianjin Higher Education Creative Team Funds Program, the Basic Research and Frontier Exploration Project (Project No. cstc2018jcyjAX0297), and the Fundamental Research Funds for the Central Universities (Project No. 2019CDQYZDH030).
© 2019 IEEE.
- Artificial bee colony
- covariance matrix adaptation evolution strategy
- economic load dispatch
- memetic algorithm