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» New Generic Algorithms for Hard Knapsacks
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CPAIOR
2008
Springer
13 years 7 months ago
Integrating Symmetry, Dominance, and Bound-and-Bound in a Multiple Knapsack Solver
Abstract. The multiple knapsack problem (MKP) is a classical combinatorial optimization problem. A recent algorithm for some classes of the MKP is bin-completion, a bin-oriented, b...
Alex S. Fukunaga
MOR
2002
94views more  MOR 2002»
13 years 5 months ago
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...
Andreas S. Schulz, Robert Weismantel
HEURISTICS
2006
197views more  HEURISTICS 2006»
13 years 5 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
EVOW
2008
Springer
13 years 7 months ago
Multiobjective Prototype Optimization with Evolved Improvement Steps
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Jirí Kubalík, Richard Mordinyi, Stef...
ECCV
1996
Springer
14 years 7 months ago
Imposing Hard Constraints on Soft Snakes
An approach is presented for imposing generic hard constraints on deformable models at a low computational cost, while preserving the good convergence properties of snake-like mod...
Pascal Fua, Christian Brechbühler