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IFIP13
2004
14 years 11 months ago
A Sampling Model to Ascertain Automation-Induced Complacency in Multi-Task Environments
: This article discusses the development of a model that defines the optimal sampling behaviour of operators in a multi-task flight simulation, where one of the tasks is automated....
Nasrine Bagheri, Greg A. Jamieson
INFOCOM
2003
IEEE
15 years 2 months ago
Detecting Network Intrusions via Sampling: A Game Theoretic Approach
In this paper, we consider the problem of detecting an intruding packet in a communication network. Detection is accomplished by sampling a portion of the packets transiting selec...
Murali S. Kodialam, T. V. Lakshman
AE
2005
Springer
15 years 3 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
CEC
2010
IEEE
14 years 8 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
EC
2002
228views ECommerce» more  EC 2002»
14 years 9 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett