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APIN
2007
118views more  APIN 2007»
14 years 9 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
15 years 3 months ago
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
85
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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 3 months ago
Variable discrimination of crossover versus mutation using parameterized modular structure
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
Rob Mills, Richard A. Watson
EUSFLAT
2003
121views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
An adaptive learning algorithm for a neo fuzzy neuron
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
Yevgeniy Bodyanskiy, Illya Kokshenev, Vitaliy Kolo...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon