An approach to nonsmooth unconstrained global optimization based on filled function
This paper introduces a filled function method to find better minimizers of nonsmooth unconstrained global optimization problem. Firstly, the definition of filled function is defined and a filled function is constructed. Then, the numerical properties of this filled function are discussed. And at last, an solution algorithm based on these theoretical properties is described and a numerical experimentation is reported. The preliminary computational results Confirm the usefulness and effectiveness of the approach.
nonsmooth unconstrained global optimization filled function filled function algorithm global minimizer
Wang Weixiang Shang Youlin
Department of Mathematics Shanghai Second Polytechnic University Shanghai, 201209,China Department of Mathematics Henan University of Science and Technology Luoyang, 471003,China
国际会议
昆明、丽江
英文
489-492
2011-04-15(万方平台首次上网日期,不代表论文的发表时间)