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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 5 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
IWPC
1998
IEEE
15 years 6 months ago
Using Automatic Clustering to Produce High-Level System Organizations of Source Code
This paper describes a collection of algorithms that we developed and implemented to facilitate the automatic recovery of the modular structure of a software system from its sourc...
Spiros Mancoridis, Brian S. Mitchell, C. Rorres, Y...
FUZZIEEE
2007
IEEE
15 years 5 months ago
Genetic Fuzzy Systems applied to Online Job Scheduling
Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
IJAR
2010
153views more  IJAR 2010»
15 years 13 days ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 8 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth