Hybrid Derivative-Free Optimization for Mixed-Integer Functions
Juan Jose Torres Figueroa  1@  , Giacomo Nannicini  2@  , Roberto Wolfler Calvo  1@  , Emiliano Traversi  1@  
1 : LIPN - Université Paris Nord
université Paris 13
2 : IBM Watson Research Center

In this project we deviced a derivative-free method for the solution of mixed-integer functions which display combinatorial properties. We combine the principles of surrogate approximation with the difference of convex algorithm, aiming to re-use some of the features of these functions, as well to device a convergent methodology.


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