A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
Branch-and-bound algorithms: A survey of recent advances in searching, branching, and pruning
The branch-and-bound (B&B) algorithmic framework has been used successfully to find
exact solutions for a wide array of optimization problems. B&B uses a tree search strategy to …
exact solutions for a wide array of optimization problems. B&B uses a tree search strategy to …
Generation of fiducial marker dictionaries using mixed integer linear programming
Square-based fiducial markers are one of the most popular approaches for camera pose
estimation due to its fast detection and robustness. In order to maximize their error correction …
estimation due to its fast detection and robustness. In order to maximize their error correction …
Differentiation of blackbox combinatorial solvers
Achieving fusion of deep learning with combinatorial algorithms promises transformative
changes to artificial intelligence. One possible approach is to introduce combinatorial …
changes to artificial intelligence. One possible approach is to introduce combinatorial …
[書籍][B] Handbook of constraint programming
Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …
that draws on a wide range of techniques from artificial intelligence, computer science …
SCIP: solving constraint integer programs
T Achterberg - Mathematical Programming Computation, 2009 - Springer
Constraint integer programming (CIP) is a novel paradigm which integrates constraint
programming (CP), mixed integer programming (MIP), and satisfiability (SAT) modeling and …
programming (CP), mixed integer programming (MIP), and satisfiability (SAT) modeling and …
A real coded genetic algorithm for solving integer and mixed integer optimization problems
In this paper, a real coded genetic algorithm named MI-LXPM is proposed for solving integer
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
and mixed integer constrained optimization problems. The proposed algorithm is a suitably …
Differentiation of blackbox combinatorial solvers
Achieving fusion of deep learning with combinatorial algorithms promises transformative
changes to artificial intelligence. One possible approach is to introduce combinatorial …
changes to artificial intelligence. One possible approach is to introduce combinatorial …
[書籍][B] Applied integer programming: modeling and solution
DS Chen, RG Batson, Y Dang - 2011 - books.google.com
An accessible treatment of the modeling and solution of integer programming problems,
featuring modern applications and software In order to fully comprehend the algorithms …
featuring modern applications and software In order to fully comprehend the algorithms …
[PDF][PDF] Constraint integer programming
T Achterberg - 2007 - depositonce.tu-berlin.de
This thesis introduces the novel paradigm of" constraint integer programming"(CIP), which
integrates constraint programming (CP) and mixed integer programming (MIP) modeling …
integrates constraint programming (CP) and mixed integer programming (MIP) modeling …