抄録
In this paper, an intelligent genetic algorithm (IGA) and a double layer neural network (NN) are integrated into a hybrid intelligent algorithm for solving the quadratic bilevel programming problem. The intelligent genetic algorithm is used to select a set of potential solution combinations from the entire generated combinations of the upper level. Then a meta-controlled Boltzmann machine, which is formulated by comprising the Hopfield model (HM) and the Boltzmann machine (BM), is used to effectively and efficiently determine the optimal solution of the lower level. Numerical experiments on examples show that the genetic algorithm based double layer neural network enables us to efficiently and effectively solve quadratic bilevel programming problems.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the International Joint Conference on Neural Networks |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 382-389 |
| ページ数 | 8 |
| ISBN（印刷版） | 9781479914845 |
| DOI | |
| 出版ステータス | Published - 2014 9月 3 |
| イベント | 2014 International Joint Conference on Neural Networks, IJCNN 2014 - Beijing 継続期間: 2014 7月 6 → 2014 7月 11 |
Other
| Other | 2014 International Joint Conference on Neural Networks, IJCNN 2014 |
|---|---|
| City | Beijing |
| Period | 14/7/6 → 14/7/11 |
ASJC Scopus subject areas
- ソフトウェア
- 人工知能