An algorithm for finding the global maximum of a multimodal, multivariate function
Mathematical Programming: Series A and B
Limiting distribution for random optimization methods
SIAM Journal on Control and Optimization
A class of filled functions for finding global minimizers of several variables
Journal of Optimization Theory and Applications
A multi-start global minimization algorithm with dynamic search trajectories
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
A computable filled function used for global minimization
Applied Mathematics and Computation
A Class of Augmented Filled Functions
Computational Optimization and Applications
A Novel Filled Function Method and Quasi-Filled Function Method for Global Optimization
Computational Optimization and Applications
Global descent methods for unconstrained global optimization
Journal of Global Optimization
Global Descent Method for Global Optimization
SIAM Journal on Optimization
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Several filled functions were reported to seek the global minimum of multimodal functions of multiple variables. This paper proposes an alternative formulation that may reduce the negative definite effect of the Hessian of a filled function proposed before. Furthermore, a class of mitigators is defined and applied to improve the computational characteristics of filled functions. Results of numerical experiments on typical testing functions are also reported.