DOE OSTI · 22769342
A filled function method for global optimization with inequality constraints
Abstract
In this paper, we propose a new filled function method for finding a global minimizer of global optimization with inequality constraints. The proposed filled function is a continuously differentiable function with only one parameter. Then, we can use classical local optimization methods to find a better minimizer of the proposed filled function with a few parameter adjustment. The numerical experiments are made and the results show that the proposed filled function method is effective.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Lin, Hongwei, Wang, Yuping, Gao, Yuelin, Wang, Xiaoli. 2018-05-15. A filled function method for global optimization with inequality constraints. https://doi.org/10.1007/s40314-016-0407-8
Cite the original work for its findings. Save a collection to share your selection of sources.