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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 9 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»
15 years 3 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
15 years 9 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
15 years 8 months 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»
15 years 4 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...