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» Solving Demodulation as an Optimization Problem
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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 7 months ago
Reducing the space-time complexity of the CMA-ES
A limited memory version of the covariance matrix adaptation evolution strategy (CMA-ES) is presented. This algorithm, L-CMA-ES, improves the space and time complexity of the CMA-...
James N. Knight, Monte Lunacek
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 7 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 7 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 7 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 7 months ago
EcoPS: a particle swarm algorithm to model group-foraging
Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic beha...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio