Abstract
An improved chaos optimization algorithm was proposed. It can speed the local rate of convergence, improve the accuracy of solution, and solve nonlinear constraint optimization problems. This algorithm is combined with exact non-differentiable penalty function. Compared with the normal random optimization, the method is simple and easy to implement. It has high rate of convergence, accuracy and reliability and is effective for solving optimization problems.
| Original language | English |
|---|---|
| Pages (from-to) | 593-595, 599 |
| Journal | Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University |
| Volume | 34 |
| Issue number | 5 |
| State | Published - May 2000 |
| Externally published | Yes |
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