抄録
To reduce a large amount of calculation cost and to improve the convergence to the optimal solution for multi-peak optimization problems with multidimensions, we purpose a new method of Adaptive plan system with Genetic Algorithm (APGA). This is an approach for improving Particle Swarm Optimization (PSO) using APGA. The new strategy based on PSO operator and APGA (PSO-APGA) to improve the convergence towards the optimal solution. The PSOAPGA is applied to some benchmark functions with 20 dimensions to evaluate its performance.
| 本文言語 | English |
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| ページ | 249-254 |
| ページ数 | 6 |
| 出版ステータス | Published - 2011 |
| イベント | 10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 - Rome, Italy 継続期間: 2011 9月 12 → 2011 9月 14 |
Conference
| Conference | 10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 |
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| 国/地域 | Italy |
| City | Rome |
| Period | 11/9/12 → 11/9/14 |
ASJC Scopus subject areas
- モデリングとシミュレーション