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» A novel memetic algorithm for constrained optimization
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EC
2012
289views ECommerce» more  EC 2012»
13 years 11 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
127
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SCALESPACE
2009
Springer
15 years 10 months ago
A Scale-Space Approach to Landmark Constrained Image Registration
Adding external knowledge improves the results for ill-posed problems. In this paper we present a new multi-level optimization framework for image registration when adding landmark...
Eldad Haber, Stefan Heldmann, Jan Modersitzki
114
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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 9 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
14 years 10 months ago
Generalized multicircumcenter trajectories for optimal design under near-independence
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Rishi Graham, Jorge Cortés
160
Voted
TVCG
2011
136views more  TVCG 2011»
14 years 10 months ago
Interactive Mesh Cutting Using Constrained Random Walks
—This paper considers the problem of interactively finding the cutting contour to extract components from an existing mesh. First, we propose a constrained random walks algorith...
Juyong Zhang, Jianmin Zheng, Jianfei Cai