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» The GLOBAL optimization method revisited
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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
ICDCN
2009
Springer
14 years 2 months ago
Optimizing Multi-hop Queries in ZigBee Based Multi-sink Sensor Networks
Wireless sensor networks with multiple users collecting data directly from the sensors have many potential applications. An important problem is to allocate for each user a query r...
Bing Han, Gwendal Simon
WSC
2004
13 years 11 months ago
Simulation-Based Optimization Using Simulated Annealing With Confidence Interval
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Talal M. Alkhamis, Mohamed A. Ahmed
DAGM
2007
Springer
14 years 4 months ago
Stochastic Optimization of Multiple Texture Registration Using Mutual Information
Abstract. We consider the problem of simultaneously registering several images to a 3D model. We propose a global approach based on mutual information that extends previous methods...
Ioan Cleju, Dietmar Saupe
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 4 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon