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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 12 months ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 10 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
IWCMC
2010
ACM
15 years 11 months ago
An oversampling approach for LoS-ToA estimation in interleaved OFDMA
Line-of-sight (LoS) time-of-arrival (ToA) is one of key parameters for network-based localization techniques. Its estimation accuracy depends on the bandwidth of transmitted signa...
Ziming He, Yi Ma, Rahim Tafazolli, Hongju Liu
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 19 days ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens
SPIN
2009
Springer
16 years 1 months ago
Improving Non-Progress Cycle Checks
This paper introduces a new model checking algorithm that searches for non-progress cycles, used mainly to check for livelocks. The algorithm performs an incremental depth-first s...
David Faragó, Peter H. Schmitt