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» Iterative Filter Generation Using Genetic Programming
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ICDS
2009
IEEE
14 years 3 months ago
An Iterative Method to Design Traffic Flow Models
Existing traffic flow modeling theory lacks of guidelines to construct traffic flow models from scratch. In addition, traffic flow models are mainly analyzed with computer simulat...
Juan Manuel González-Calleros, Jorge Mart&i...
IPPS
2006
IEEE
14 years 2 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed
SCAM
2006
IEEE
14 years 2 months ago
Factoring Differences for Iterative Change Management
An approach for factoring source-code differences is presented. A single large difference between two versions of a program is decomposed into factors (i.e., smaller changes). The...
Michael L. Collard, Huzefa H. Kagdi, Jonathan I. M...
ASC
2008
13 years 9 months ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster