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CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 11 months ago
Evolution with Drifting Targets
We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
Varun Kanade, Leslie G. Valiant, Jennifer Wortman ...
EC
2010
157views ECommerce» more  EC 2010»
13 years 11 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
DAM
2008
136views more  DAM 2008»
13 years 11 months ago
General theory of information transfer: Updated
We report on ideas, problems and results, which occupied us during the past decade and which seem to extend the frontiers of information theory in several directions. The main con...
Rudolf Ahlswede
BMCBI
2006
146views more  BMCBI 2006»
13 years 11 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
COMCOM
2006
81views more  COMCOM 2006»
13 years 11 months ago
A case for tree evolution in QoS multicasting
The phenomenal growth of group communications and QoS-aware applications over the Internet have accelerated the development of multicasting technologies. The Core-Based Tree (CBT) ...
Anirban Chakrabarti, G. Manimaran