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116
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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 8 months ago
Is the island model fault tolerant?
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively appli...
José Ignacio Hidalgo, Juan Lanchares, Franc...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 8 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
15 years 7 months ago
An evaporation mechanism for dynamic and noisy multimodal optimization
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
124
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 6 months ago
Aspects of adaptation in natural and artificial evolution
This work addresses selected aspects of natural evolution, especially of the field of population genetics, that are considered to be meaningful for algorithmic further development...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
93
Voted
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
15 years 6 months ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...