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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 12 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 12 months ago
Evolutionary computation methods for synchronization of effects based operations
Effects based operations (EBO) is a concept based on the premise that a desired strategic outcome can be achieved through synergistic, multiplicative, and cumulative application ...
Jeffrey P. Ridder
ICML
2003
IEEE
15 years 11 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
EICS
2010
ACM
15 years 11 months ago
Magellan, an evolutionary system to foster user interface design creativity
Fostering creativity in User Interface (UI) design is challenging for innovation. This paper explores the combination of model-based approaches and interactive genetic algorithms ...
Dimitri Masson, Alexandre Demeure, Gaëlle Cal...
GPEM
2010
134views more  GPEM 2010»
15 years 5 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...