The impelling function method applied to global optimization
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摘要
A new global optimization method, the impeller function method (IFM), is proposed in this paper. Both the theory and the algorithm are presented. This new approach is analogous to a classical achievement in the local optimization research: the penalty function method (PFM). Therefore, the significance of the IFM for global optimization is expected to be similar to that of the PFM for local optimization.
论文关键词:Barrier function method,Filled function method,Global optimization,Impelling function method,Minimization,Nonlinear programming,Penalty function method
论文评审过程:Available online 14 June 2003.
论文官网地址:https://doi.org/10.1016/S0096-3003(03)00525-3