More test examples for nonlinear programming codes
More test examples for nonlinear programming codes
A class of filled functions for finding global minimizers of several variables
Journal of Optimization Theory and Applications
A continuous approach to nonlinear integer programming
Applied Mathematics and Computation
A filled function method for finding a global minimizer of a function of several variables
Mathematical Programming: Series A and B
An approximate algorithm for nonlinear integer programming
Applied Mathematics and Computation
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
Mathematics of Operations Research
Revised filled function methods for global optimization
Applied Mathematics and Computation
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
Global Optimality Conditions for Quadratic Optimization Problems with Binary Constraints
SIAM Journal on Optimization
Finding Global Minima with a Computable Filled Function
Journal of Global Optimization
Success Guarantee of Dual Search in Integer Programming: p-th Power Lagrangian Method
Journal of Global Optimization
Filled functions for unconstrained global optimization
Journal of Global Optimization
Computational Optimization and Applications
A New Filled Function Method for Global Optimization
Journal of Global Optimization
Discrete global descent method for discrete global optimization and nonlinear integer programming
Journal of Global Optimization
A discrete filled function algorithm for approximate global solutions of max-cut problems
Journal of Computational and Applied Mathematics
A discrete dynamic convexized method for nonlinear integer programming
Journal of Computational and Applied Mathematics
Discrete dynamic convexized method for nonlinearly constrained nonlinear integer programming
Computers and Operations Research
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A new discrete filled function method for solving large scale max-cut problems
Numerical Algorithms
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A discrete filled function method is developed in this paper to solve discrete global optimization problems over "strictly pathwise connected domains." Theoretical properties of the proposed discrete filled function are investigated and a solution algorithm is proposed. Numerical experiments reported in this paper on several test problems with up to 200 variables have demonstrated the applicability and efficiency of the proposed method.