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NC
1998
138views Neural Networks» more  NC 1998»
13 years 9 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
COMCOM
2006
283views more  COMCOM 2006»
13 years 7 months ago
Sleep scheduling for wireless sensor networks via network flow model
The pervasiveness and operational autonomy of mesh-based wireless sensor networks (WSNs) make them an ideal candidate in offering sustained monitoring functions at reasonable cost...
Rick W. Ha, Pin-Han Ho, Sherman X. Shen, Junshan Z...
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 7 months ago
Packrat Parsing: Simple, Powerful, Lazy, Linear Time
Packrat parsing is a novel technique for implementing parsers in a lazy functional programming language. A packrat parser provides the power and flexibility of top-down parsing wi...
Bryan Ford
IJON
2006
146views more  IJON 2006»
13 years 7 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
ANSOFT
1999
74views more  ANSOFT 1999»
13 years 7 months ago
On Coping with Real-Time Software Dynamic Inconsistency by Built-in Tests
In real-time systems, dynamic inconsistencies of software are hardly detected, diagnosed and handled. A built-in test (BIT) method is developed to cope with software dynamic incon...
Yingxu Wang, Graham King, Dilip Patel, Shushma Pat...