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» Computational complexity of stochastic programming problems
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TWC
2011
291views more  TWC 2011»
15 years 1 months ago
On Optimal Cooperator Selection Policies for Multi-Hop Ad Hoc Networks
Abstract—In this paper we consider wireless cooperative multihop networks, where nodes that have decoded the message at the previous hop cooperate in the transmission toward the ...
Michele Rossi, Cristiano Tapparello, Stefano Tomas...
PEPM
2009
ACM
16 years 3 months ago
Self-adjusting computation: (an overview)
Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
Umut A. Acar
PPSN
1994
Springer
15 years 10 months ago
RPL2: A Language and Parallel Framework for Evolutionary Computing
The Reproductive Plan Language 2 (RPL2) is an extensible interpreted language for writing and using evolutionary computing programs. It supports arbitrary genetic representations,...
Patrick D. Surry, Nicholas J. Radcliffe
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 11 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
SASP
2008
IEEE
162views Hardware» more  SASP 2008»
16 years 17 days ago
Accelerating Compute-Intensive Applications with GPUs and FPGAs
—Accelerators are special purpose processors designed to speed up compute-intensive sections of applications. Two extreme endpoints in the spectrum of possible accelerators are F...
Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadr...