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» Optimal Monte Carlo Algorithms
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GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
13 years 11 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
CORR
2010
Springer
83views Education» more  CORR 2010»
13 years 10 months ago
Investigating the Performance of an Adiabatic Quantum Optimization Processor
We calculate median adiabatic times (in seconds) of a specific superconducting adiabatic quantum processor for an NP-hard Ising spin glass instance class with up to N = 128 binary ...
Geordie Rose, Kamran Karimi, Neil G. Dickson, Fira...
BMCBI
2008
153views more  BMCBI 2008»
13 years 10 months ago
Estimating the size of the solution space of metabolic networks
Background: Cellular metabolism is one of the most investigated system of biological interactions. While the topological nature of individual reactions and pathways in the network...
Alfredo Braunstein, Roberto Mulet, Andrea Pagnani
CORR
2010
Springer
162views Education» more  CORR 2010»
13 years 10 months ago
Random sampling of lattice paths with constraints, via transportation
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Lucas Gerin
ICML
2005
IEEE
14 years 11 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