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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
120
Voted
CEC
2008
IEEE
15 years 10 months ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer
AE
2007
Springer
15 years 10 months ago
Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques
Abstract. We aim to construct an automatic system for the discovery of collision-based universal cellular automata that simulate Turing machines in their space-time dynamics using ...
Emmanuel Sapin, Larry Bull
DATE
2005
IEEE
172views Hardware» more  DATE 2005»
15 years 9 months ago
Evolutionary Optimization in Code-Based Test Compression
We provide a general formulation for the code-based test compression problem with fixed-length input blocks and propose a solution approach based on Evolutionary Algorithms. In c...
Ilia Polian, Alejandro Czutro, Bernd Becker
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
15 years 9 months ago
Evolutionary Two-Dimensional DNA Sequence Alignment
This article presents a model for DNA sequence alignment. In our model, a finite state automaton writes two-dimensional maps of nucleotide sequences. An evolutionary method for se...
Edgar E. Vallejo, Fernando Ramos