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» A Guided Monte Carlo Approach to Optimization Problems
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CSB
2003
IEEE
152views Bioinformatics» more  CSB 2003»
15 years 3 months ago
A Parallel Genetic Algorithm for Physical Mapping of Chromosomes
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...
Suchendra M. Bhandarkar, Jinling Huang, Jonathan A...
BIBE
2010
IEEE
144views Bioinformatics» more  BIBE 2010»
14 years 11 months ago
Knowledge-Guided Docking of Flexible Ligands to SH2 Domain Proteins
Studies of interactions between protein domains and ligands are important in many aspects such as cellular signaling and regulation. In this work, we applied a three-stage knowledg...
Haiyun Lu, Shamima Banu Bte Sm Rashid, Hao Li, Wee...
IROS
2007
IEEE
90views Robotics» more  IROS 2007»
15 years 4 months ago
Improved likelihood models for probabilistic localization based on range scans
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
CVPR
2006
IEEE
15 years 12 months ago
Body Localization in Still Images Using Hierarchical Models and Hybrid Search
We present a 3-level hierarchical model for localizing human bodies in still images from arbitrary viewpoints. We first fit a simple tree-structured model defined on a small landm...
Jiayong Zhang, Jiebo Luo, Robert T. Collins, Yanxi...
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
14 years 11 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...