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» Computing minimum cuts by randomized search heuristics
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GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 4 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
15 years 6 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
78
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GECCO
2009
Springer
139views Optimization» more  GECCO 2009»
15 years 5 months ago
Meta-heuristics for reconstructing cross cut shredded text documents
In this work, we present two new approaches based on variable neighborhood search (VNS) and ant colony optimization (ACO) for the reconstruction of cross cut shredded text documen...
Matthias Prandtstetter, Günther R. Raidl
122
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ACIVS
2006
Springer
15 years 6 months ago
A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures
Abstract. Image segmentation using graph cuts have become very popular in the last years. These methods are computationally expensive, even with hard constraints (seed pixels). We ...
Alexandre X. Falcão, Paulo A. V. Miranda, A...
86
Voted
APPROX
2004
Springer
136views Algorithms» more  APPROX 2004»
15 years 5 months ago
On the Crossing Spanning Tree Problem
Given an undirected n-node graph and a set C of m cuts, the minimum crossing tree is a spanning tree which minimizes the maximum crossing of any cut in C, where the crossing of a c...
Vittorio Bilò, Vineet Goyal, R. Ravi, Mohit...