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» Adaptive generalized selection combining (A-GSC) receivers
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JSAC
2007
79views more  JSAC 2007»
13 years 7 months ago
Collaborative decoding in bandwidth-constrained environments
We present a cooperative communication scheme in which a group of receivers can collaborate to decode a message that none of the receivers can individually decode. The receivers a...
Arun Nayagam, John M. Shea, Tan F. Wong
LCN
2000
IEEE
13 years 12 months ago
Tree-Based Reliable Multicast in Combined Fixed/Mobile IP Networks
This paper proposes a solution to delivering multicast data reliably not only to/from fixed hosts but also to/from mobile hosts in combined fixed/mobile IP networks, particularl...
Wonyong Yoon, Dongman Lee, Chansu Yu, Myungchul Ki...
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 11 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 11 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel