A class of filled functions for finding global minimizers of several variables
Journal of Optimization Theory and Applications
Global optimization
A filled function method for finding a global minimizer of a function of several variables
Mathematical Programming: Series A and B
The globally convexized filled functions for global optimization
Applied Mathematics and Computation
Finding Global Minima with a Computable Filled Function
Journal of Global Optimization
Filled functions for unconstrained global optimization
Journal of Global Optimization
New Classes of Globally Convexized Filled Functions for Global Optimization
Journal of Global Optimization
A New Filled Function Method for Global Optimization
Journal of Global Optimization
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In this paper we will extend the definition of a filled function and propose a new definition of a locally filled function. The difference between the locally filled function and the classical filled function is illustrated by an example. The existence of a locally filled function is also studied in theory. Based on the locally filled function and cluster analysis technique we will present a hybrid global optimisation algorithm. The algorithm integrates the deterministic and stochastic searching techniques and has a very powerful globally searching ability. Numerical performance of the new hybrid algorithm is demonstrated by two examples about the Shubert I and Sine-Square I functions.