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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
14 years 1 months ago
DCMA: yet another derandomization in covariance-matrix-adaptation
In a preliminary part of this paper, we analyze the necessity of randomness in evolution strategies. We conclude to the necessity of ”continuous”-randomness, but with a much m...
Olivier Teytaud, Sylvain Gelly
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 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...
APSCC
2008
IEEE
14 years 2 months ago
Adaptive Learning Sequencing for Course Customization: A Web Service Approach
— We discuss a learning model that enables the creation of optimal learning strategies that suit learners’ needs. A customized learning content is delivered to learners as mana...
Ivan Madjarov, Abdelkader Bétari
ICDCS
2002
IEEE
14 years 22 days ago
Query Optimization to Meet Performance Targets for Wide Area Applications
Recent technology advances have enabled mediated query processing with Internet accessible WebSources. A characteristic of WebSources is that their access costs exhibit transient ...
Vladimir Zadorozhny, Louiqa Raschid
AHS
2007
IEEE
262views Hardware» more  AHS 2007»
13 years 9 months ago
A Reed-Solomon Algorithm for FPGA Area Optimization in Space Applications
This work describes an algebraic based design strategy targeting area optimization in reconfigurable computer technology (FPGA). Area optimization is a major issue as smaller comp...
Gabriel Marchesan Almeida, Eduardo Augusto Bezerra...