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GECCO
2009
Springer
139views Optimization» more  GECCO 2009»
15 years 9 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
115
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GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
15 years 9 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 8 months ago
A new generation alternation model for differential evolution
We present a modified version of Differential Evolution (DE) for locating the global minimum at a higher convergence velocity. The proposed model differs from conventional DE by a...
Nasimul Noman, Hitoshi Iba
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 8 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 5 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens