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ML
1998
ACM
153views Machine Learning» more  ML 1998»
14 years 9 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
ANOR
2007
166views more  ANOR 2007»
14 years 10 months ago
Memetic particle swarm optimization
Abstract We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in a...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
WSC
2004
14 years 11 months ago
Localization Using Discrete Event Simulation
In this paper, we focus on the implementation of a localization algorithm for sensor networks using a discrete event simulation (DES) architecture. In this implementation, DES is ...
Baybora Aksoy, Volkan Ustun, Jeffrey S. Smith
EVOW
2009
Springer
15 years 4 months ago
Stochastic Local Search Techniques with Unimodal Continuous Distributions: A Survey
In continuous black-box optimization, various stochastic local search techniques are often employed, with various remedies for fighting the premature convergence. This paper surve...
Petr Posík
ICDAR
2003
IEEE
15 years 3 months ago
Numeral Recognition by Weighting Local Decisions
This paper presents a new technique to improve the combination of classification decisions obtained from local analysis of patterns. Specifically, a genetic algorithm is used to d...
Giovanni Dimauro, Sebastiano Impedovo, Raffaele Mo...