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GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 9 months ago
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization
Abstract. Recent theoretical work helped explain certain optimizationrelated pathologies in cooperative coevolutionary algorithms (CCEAs). Such explanations have led to adopting sp...
Liviu Panait, R. Paul Wiegand, Sean Luke
ICMLA
2004
15 years 5 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
ISCI
2006
72views more  ISCI 2006»
15 years 4 months ago
A study of particle swarm optimization particle trajectories
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analys...
F. Van den Bergh, Andries Petrus Engelbrecht
INFORMATICALT
2007
92views more  INFORMATICALT 2007»
15 years 4 months ago
An Optimization of System for Automatic Recognition of Ischemic Stroke Areas in Computed Tomography Images
Abstract. The paper considers application of stochastic optimization to system of automatic recognition of ischemic stroke area on computed tomography (CT) images. The algorithm of...
Darius Grigaitis, Vaida Bartkute, Leonidas Sakalau...
PPSN
2010
Springer
15 years 2 months ago
A Natural Evolution Strategy for Multi-objective Optimization
Abstract. The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alt...
Tobias Glasmachers, Tom Schaul, Jürgen Schmid...