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CEC
2005
IEEE
14 years 2 months ago
Adaptive local search parameters for real-coded memetic algorithms
AbstractThis paper presents a real-coded memetic algorithm that combines a high diversity global exploration with an adaptive local search method to the most promising individuals ...
Daniel Molina, Francisco Herrera, Manuel Lozano
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
14 years 2 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
ICES
2005
Springer
176views Hardware» more  ICES 2005»
14 years 2 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma
ADC
2004
Springer
107views Database» more  ADC 2004»
14 years 2 months ago
Challenges in Enterprise Search
Concerted research effort since the nineteen fifties has lead to effective methods for retrieval of relevant documents from homogeneous collections of text, such as r archives,...
David Hawking
ECML
2004
Springer
14 years 2 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu