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ICTAI
2007
IEEE
13 years 11 months ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
13 years 10 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
AIR
2005
130views more  AIR 2005»
13 years 4 months ago
Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dynam...
Andrew J. Page, Thomas J. Naughton
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
13 years 10 months ago
An Estimation of Distribution Algorithm Based on Maximum Entropy
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
Alden H. Wright, Riccardo Poli, Christopher R. Ste...
GPEM
2010
134views more  GPEM 2010»
13 years 3 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...