Abstract
Population based incremental learning (PBIL) algorithm has the advantage of simple execution process, quick and accurate solutions to problem. Aiming at the domino phenomenon of convergence from the highest position to the lowest position of binary coding in PBIL algorithm, a zooming algorithm is employed to improve the search efficiency and solution accuracy. The simulation results based on Benchmark functions of different dimensions verify that the proposed hybrid algorithm has the advantage of global convergence, high solution precision and search efficiency.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence |
| Volume | 22 |
| Issue number | 1 |
| Publication status | Published - Feb 2009 |
Keywords
- Function Optimization
- Hybrid Algorithm
- Population Based Incremental Learning (PBIL) Algorithm
- Zooming Algorithm