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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
16 years 5 days 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...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
16 years 5 days ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
MICCAI
1999
Springer
15 years 11 months ago
Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation
Abstract. A system for interactive, 3–D, craniofacial surgery simulation is presented. It is used for the 3–D simulation of osteotomies of the facial and skull bones and for th...
Matthias Teschner, Sabine Girod, Bernd Girod
IDMS
2000
Springer
128views Multimedia» more  IDMS 2000»
15 years 10 months ago
Fast and Optimal Multicast-Server Selection Based on Receivers' Preference
Abstract. In this paper, we propose static and dynamic server selection techniques for multicast receivers who receive multiple streams from replicated servers. In the proposed sta...
Akihito Hiromori, Hirozumi Yamaguchi, Keiichi Yasu...
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 8 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan