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» Distributed Center-Location Algorithms: Proposals and Compar...
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EC
2007
167views ECommerce» more  EC 2007»
13 years 4 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
13 years 10 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
INFOCOM
2011
IEEE
12 years 8 months ago
Scalable and fully distributed localization with mere connectivity
Abstract—This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and non-uniform nodal distributio...
Miao Jin, Su Xia, Hongyi Wu, Xianfeng Gu
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 6 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...