报告主题:求解腾贵黑箱优化问题的随机自顺应径向基函数算法
报告人:白富生 教授 (重庆师范大学)
报告时间:2017年 6月21日(周三)14:30
报告所在:校本部G508
约请人:白延琴教授
主理部分:理学院数学系
报告摘要:In this talk, we present some stochastic adaptive stochastic algorithms using radial basis function models for global optimization of costly black-box functions. The exploration radii in local searches are generated adaptively. Each iteration point is selected from some randomly generated trial points according to certain criteria. Restarting strategies are adopted to build the restarting versions of these algorithms. The performance of the presented algorithms and their restarting versions are tested on some standard numerical examples. The numerical results indicate that these stochastic algorithms are very effective.
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