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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 11 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
15 years 11 months ago
Dealing with stochastic reachability
Abstract— For stochastic hybrid systems, stochastic reachability is very little supported mainly because of complexity and difficulty of the associated mathematical problems. In...
Manuela L. Bujorianu
ICANNGA
2007
Springer
134views Algorithms» more  ICANNGA 2007»
15 years 9 months ago
Optical Design with Epsilon-Dominated Multi-objective Evolutionary Algorithm
Significant improvement over a patented lens design is achieved using multi-objective evolutionary optimization. A comparison of the results obtained from NSGA2 and ε-MOEA is done...
Shaine Joseph, Hyung W. Kang, Uday K. Chakraborty
NIPS
2004
15 years 9 months ago
Coarticulation in Markov Decision Processes
We investigate an approach for simultaneously committing to multiple activities, each modeled as a temporally extended action in a semi-Markov decision process (SMDP). For each ac...
Khashayar Rohanimanesh, Robert Platt Jr., Sridhar ...
NIPS
2003
15 years 9 months ago
Online Learning via Global Feedback for Phrase Recognition
We present a system to recognize phrases based on perceptrons, and a global online learning algorithm to train them together. The recognition strategy applies learning in two laye...
Xavier Carreras, Lluís Màrquez