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» A novel memetic algorithm for constrained optimization
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EC
2012
289views ECommerce» more  EC 2012»
12 years 2 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
SCALESPACE
2009
Springer
14 years 1 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
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 26 days 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»
13 years 1 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
TVCG
2011
136views more  TVCG 2011»
13 years 1 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