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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 7 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
MONET
2008
102views more  MONET 2008»
15 years 6 months ago
QoS Support for Multi-user Sessions in IP-based Next Generation Networks
A combined control of multimedia quality level, mobility and allocation of network resources is essential for the success of next generation mobile networks. In this context, this ...
Eduardo Cerqueira, Luis Veloso, Augusto Neto, Mari...
IOPADS
1997
152views more  IOPADS 1997»
15 years 8 months ago
Competitive Parallel Disk Prefetching and Buffer Management
We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel I/O systems, using a read-once model of block references. This has ...
Rakesh D. Barve, Mahesh Kallahalla, Peter J. Varma...
IPPS
2007
IEEE
16 years 27 days ago
Scalable, Distributed, Dynamic Resource Management for the ARMS Distributed Real-Time Embedded System
We present a scalable, hierarchical control system for the dynamic resource management of a distributed real-time embedded (DRE) system. This DRE is inspired by the DARPA Adaptive...
Kurt Rohloff, Yarom Gabay, Jianming Ye, Richard E....
TKDE
2010
168views more  TKDE 2010»
15 years 5 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...