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ISDA
2008
IEEE
14 years 2 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
CIMCA
2005
IEEE
13 years 10 months ago
Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization
This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
Mehmet Bodur, Adnan Acan, Talip Akyol
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 1 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
ICRA
2000
IEEE
62views Robotics» more  ICRA 2000»
14 years 26 days ago
Design and Implementation of a Robot Assisted Crucible Charging System
A robotic system is developed to automate the packing of polycrystalline silicon nuggets into a fragile fused silica crucible in CZ semiconductor wafer production. The highly irre...
Vivek A. Sujan, Steven Dubowsky, Yoshiaki Ohkami
HAPTICS
2008
IEEE
14 years 2 months ago
Haptic Feedback Based on Physically Based Modeling for Cellular Manipulation Systems
This paper focuses on developing a haptic rendering technique for cellular manipulation using image processing techniques and physically based models. The interaction forces betwee...
Jungsik Kim, Farrokh Janabi-Sharifi, Jung Kim