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GECCO
1999
Springer
13 years 11 months ago
A parameter-less genetic algorithm
From the user’s point of view, setting the parameters of a genetic algorithm (GA) is far from a trivial task. Moreover, the user is typically not interested in population sizes,...
Georges R. Harik, Fernando G. Lobo
AI
2008
Springer
13 years 9 months ago
Assessing the Impact of Changing Environments on Classifier Performance
Abstract. The purpose of this paper is to test the hypothesis that simple classifiers are more robust to changing environments than complex ones. We propose a strategy for generati...
Rocío Alaíz-Rodríguez, Nathal...
AIA
2007
13 years 8 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
Hill climbing on discrete HIFF: exploring the role of DNA transposition in long-term artificial evolution
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....
Susan Khor
CEAS
2004
Springer
14 years 23 days ago
Personalised, Collaborative Spam Filtering
The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false posit...
Alan Gray, Mads Haahr