A class of generalized filled functions with improved computability
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摘要
The filled function method (FFM) is an approach to find the global minimum of multimodal functions. The computability of conventional filled functions is limited as they are defined on either exponential or logarithmic terms. This paper proposes a new filled function that does not have such disadvantages. Numerical experiments on typical testing functions showed that the new function is superior to the conventional one.
论文关键词:Filled function method,Global optimization,Minimization,Nonlinear programming
论文评审过程:Received 19 April 2000, Revised 19 September 2000, Available online 12 October 2001.
论文官网地址:https://doi.org/10.1016/S0377-0427(00)00697-X