| Article ID: | iaor20014166 |
| Country: | China |
| Volume: | 4 |
| Issue: | 2 |
| Start Page Number: | 92 |
| End Page Number: | 95 |
| Publication Date: | Jun 2000 |
| Journal: | Journal of Shanghai University (English Edition) |
| Authors: | Shi Dinghua, Peng Jianping |
| Keywords: | random search |
In this paper, the improvement of pure random search is studied. By taking some information of the function to be minimized into consideration, the authors propose two stochastic global optimization algorithms. Some numerical experiments for the new stochastic global optimization algorithms are presented for a class of test problems.