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173
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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 8 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
150
Voted
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 7 months ago
The effects of interaction frequency on the optimization performance of cooperative coevolution
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
Elena Popovici, Kenneth A. De Jong
126
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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 9 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
CVPR
2007
IEEE
15 years 10 months ago
EDA Approach for Model Based Localization and Recognition of Vehicles
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu...
142
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CGF
2010
218views more  CGF 2010»
15 years 3 months ago
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zhe...