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GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 3 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
135views Optimization» more  GECCO 2005»
15 years 3 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
CEEMAS
2005
Springer
15 years 3 months ago
The "Dance or Work" Problem: Why Do not all Honeybees Dance with Maximum Intensity
A honeybee colony has to choose among several nectar sources in the environment, each fluctuating in quality over time. Successful forager bees return to the hive and perform dance...
Ronald Thenius, Thomas Schmickl, Karl Crailsheim
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 3 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
AAAI
1998
14 years 11 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies