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EVOW
2009
Springer
13 years 7 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
ICIP
2001
IEEE
14 years 11 months ago
Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods
Various relevance feedback algorithms have been proposed in recent years in the area of content-based image retrieval. This paper gives a brief review and analysis on existing tec...
Xiang Sean Zhou, Thomas S. Huang
JDCTA
2010
135views more  JDCTA 2010»
13 years 4 months ago
Signal Framing Methods of Automotive Embedded Networked Control System for Bandwidth Consumption Optimization
Parameter (or variable) of automotive embedded networked control system is named as signal. In order to improve system performance and provide more remaining bandwidth for system ...
Jian Hu, Gangyan Li, Yeqiong Song
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
14 years 2 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...
CIRA
2007
IEEE
135views Robotics» more  CIRA 2007»
14 years 4 months ago
Morphological Evolution of Dynamic Structures in a 3-Dimensional Simulated Environment
— The results presented in this paper are a part of the second phase of a body of research with the goal of coevolving the mind and morphology of dynamic robots. We use a 3-Dimen...
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ram...