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MP
2010
163views more  MP 2010»
12 years 11 months ago
Speeding up IP-based algorithms for constrained quadratic 0-1 optimization
In many practical applications, the task is to optimize a non-linear objective function over the vertices of a well-studied polytope as, e.g., the matching polytope or the travelli...
Christoph Buchheim, Frauke Liers, Marcus Oswald
ICML
2010
IEEE
13 years 5 months ago
Multi-Task Learning of Gaussian Graphical Models
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Jean Honorio, Dimitris Samaras
GECCO
2009
Springer
13 years 8 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom