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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 3 hour ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
EVOW
2004
Springer
15 years 12 months ago
A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem
Abstract. The implementation of an evolutionary algorithm necessarily involves the selection of an appropriate set of genetic operators. For many real-world problem domains, an inc...
Wouter Boomsma
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 10 months ago
Deceptiveness and neutrality the ND family of fitness landscapes
When a considerable number of mutations have no effects on fitness values, the fitness landscape is said neutral. In order to study the interplay between neutrality, which exists ...
William Beaudoin, Sébastien Vérel, P...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 10 months ago
3D airspace sectoring by evolutionary computation: real-world applications
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
Daniel Delahaye, Stephane Puechmorel
AMC
2007
111views more  AMC 2007»
15 years 6 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...