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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
14 years 11 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
JCB
2006
91views more  JCB 2006»
14 years 10 months ago
Reverse Engineering Discrete Dynamical Systems from Data Sets with Random Input Vectors
Recently a new algorithm for reverse engineering of biochemical networks was developed by Laubenbacher and Stigler. It is based on methods from computational algebra and finds mos...
Winfried Just
TIT
2002
86views more  TIT 2002»
14 years 9 months ago
Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates
Abstract--The Lagrangian formulation of variable-rate vector quantization is known to yield useful necessary conditions for quantizer optimality and generalized Lloyd algorithms fo...
Tamás Linder
VMV
2004
100views Visualization» more  VMV 2004»
14 years 11 months ago
Vector Quantization Based Data Selection for Hand-Eye Calibration
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 4 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec