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114
Voted
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 1 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf
127
Voted
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
15 years 1 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
97
Voted
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 1 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
15 years 1 months ago
The influence of scaling and assortativity on takeover times in scale-free topologies
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 1 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...