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GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
14 years 28 days ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
IEEEHPCS
2010
13 years 2 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...
DAC
2008
ACM
14 years 8 months ago
Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM
In the design of complex power distribution networks (PDN) with multiple power islands, it is required that the PDN represents a low impedance as seen by the digital modules. This...
Krishna Bharath, Ege Engin, Madhavan Swaminathan
DEXA
1998
Springer
112views Database» more  DEXA 1998»
13 years 11 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
JSS
2008
122views more  JSS 2008»
13 years 6 months ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche