Sciweavers

828 search results - page 135 / 166
» Modularity for Timed and Hybrid Systems
Sort
View
113
Voted
AAAI
2004
15 years 3 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
TPDS
2010
113views more  TPDS 2010»
14 years 8 months ago
Highly Available Intrusion-Tolerant Services with Proactive-Reactive Recovery
In the past, some research has been done on how to use proactive recovery to build intrusion-tolerant replicated systems that are resilient to any number of faults, as long as reco...
Paulo Sousa, Alysson Neves Bessani, Miguel Correia...
ISDA
2008
IEEE
15 years 8 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
94
Voted
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
15 years 8 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde