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» Introduction to Randomized Algorithms
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132
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AI
2003
Springer
15 years 9 months ago
Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design
Sets of DNA strands that satisfy combinatorial constraints play an important role in various approaches to biomolecular computation, nanostructure design, and molecular tagging. Th...
Dan C. Tulpan, Holger H. Hoos
139
Voted
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 9 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
138
Voted
GECCO
2003
Springer
15 years 9 months ago
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenb...
137
Voted
ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
15 years 8 months ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
175
Voted
ICRA
2002
IEEE
223views Robotics» more  ICRA 2002»
15 years 8 months ago
Dynamic Motion Planning Whole Arm Grasp Systems Based on Switching Contact Modes
We present motion planning for dexterous manipulation by whole arm grasp system based on switching contact modes. Motion planning for such a system should consider changing dynami...
Masahito Yashima, Hideya Yamaguchi