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GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
13 years 11 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin
PHSN
1996
13 years 9 months ago
Fully reliable multicast in heterogeneous environments
Multicast (1:N) is now supported by a number of networks and communication protocols. A problem in this context is how to provide fully reliable data transmission to the receiver ...
José Ferreira de Rezende, Andreas Mauthe, S...
IJON
2000
105views more  IJON 2000»
13 years 7 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
IJRR
2010
86views more  IJRR 2010»
13 years 6 months ago
Multi-modal Motion Planning in Non-expansive Spaces
: The motion planning problems encountered in manipulation and legged locomotion have a distinctive multi-modal structure, where the space of feasible configurations consists of o...
Kris K. Hauser, Jean-Claude Latombe
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 9 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...