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» A Guided Monte Carlo Approach to Optimization Problems
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GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
WCE
2007
14 years 11 months ago
LinkGuide: Towards a Better Collection of Hyperlinks in a Website Homepage
—A dramatic and continuous increase in the complexity and size of websites on the Internet makes rather difficult to build such websites with required information to be easily fo...
Ahmad Ammari, Valentina V. Zharkova
ICCV
2001
IEEE
15 years 12 months ago
JetStream: Probabilistic Contour Extraction with Particles
The problem of extracting continuous structures from noisy or cluttered images is a difficult one. Successful extraction depends critically on the ability to balance prior constra...
Andrew Blake, Michel Gangnet, Patrick Pérez
ICML
2005
IEEE
15 years 10 months ago
Finite time bounds for sampling based fitted value iteration
In this paper we consider sampling based fitted value iteration for discounted, large (possibly infinite) state space, finite action Markovian Decision Problems where only a gener...
Csaba Szepesvári, Rémi Munos
MICAI
2007
Springer
15 years 4 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...