| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905585 | Applied Soft Computing | 2015 | 10 Pages |
Abstract
- We use an improved multiobjective Estimation of Distribution Algorithm (IRM-MEDA) to solve the environmental economic dispatch of hydrothermal power systems.
- In IRM-MEDA, a local learning operation is added into the original regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) in the improved approach.
- IRM-MEDA is improved the local search ability and enhanced the convergence efficiency.
- A repair mechanism is employed to repair the searched infeasible solutions in order to be able to search in the feasible region.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yangyang Li, Haiyang He, Yang Wang, Xia Xu, Licheng Jiao,