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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Geometric particle swarm optimisation on binary and real spaces: from theory to practice
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Cecilia Di Chio, Alberto Moraglio, Riccardo Poli
ANNS
2010
13 years 5 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
GECCO
2009
Springer
153views Optimization» more  GECCO 2009»
14 years 4 months ago
A search space analysis for the waste collection vehicle routing problem with time windows
We address a large scale waste collection vehicle routing problem with time windows (VRPTW) complicated by multiple disposal trips and drivers lunch breaks. A fitness search spac...
Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ven...
ICML
2003
IEEE
14 years 3 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
BROADNETS
2004
IEEE
14 years 1 months ago
Performance Comparison of Guided-Wave Architectures for Space-Division Photonic Switching
The paper1 presents and compares various unicast nonblocking architectures to be used into space-domain photonic switching networks. All the analyzed architectures have been evalu...
Luigi Savastano, Guido Maier, Mario Martinelli, Ac...