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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 2 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
IROS
2007
IEEE
169views Robotics» more  IROS 2007»
14 years 5 months ago
A lightweight SLAM algorithm using Orthogonal planes for indoor mobile robotics
— Simple, fast and lightweight SLAM algorithms are necessary in many embedded robotic systems which soon will be used in houses and offices in order to do various service tasks....
Viet Nguyen, Ahad Harati, Roland Siegwart
IPL
2002
65views more  IPL 2002»
13 years 10 months ago
Parallel evolutionary algorithms can achieve super-linear performance
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
Enrique Alba
IPL
2008
95views more  IPL 2008»
13 years 11 months ago
Efficient algorithms for finding interleaving relationship between sequences
The longest common subsequence and sequence alignment problems have been studied extensively and they can be regarded as the relationship measurement between sequences. However, m...
Kuo-Si Huang, Chang-Biau Yang, Kuo-Tsung Tseng, Hs...
PRL
2008
161views more  PRL 2008»
13 years 10 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar