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» On the Brittleness of Evolutionary Algorithms
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GECCO
2009
Springer
305views Optimization» more  GECCO 2009»
15 years 6 months ago
Evolving competitive car controllers for racing games with neuroevolution
Modern computer games are at the same time an attractive application domain and an interesting testbed for the evolutionary computation techniques. In this paper we apply NeuroEvo...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
GECCO
2009
Springer
15 years 6 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...
ISBRA
2010
Springer
15 years 6 months ago
"Master-Slave" Biological Network Alignment
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...
FCCM
2008
IEEE
162views VLSI» more  FCCM 2008»
15 years 6 months ago
Multiobjective Optimization of FPGA-Based Medical Image Registration
With a multitude of technological innovations, one emerging trend in image processing, and medical image processing, in particular, is custom hardware implementation of computatio...
Omkar Dandekar, William Plishker, Shuvra S. Bhatta...
CEC
2007
IEEE
15 years 6 months ago
A fractal representation for real optimization
— The chaos game, in which a moving point is repeatedly averaged toward randomly selected vertices of a triangle, is one method of generating the fractal called the Sierpinski tr...
Daniel A. Ashlock, Justin Schonfeld