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PPSN
2004
Springer
14 years 21 days ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
MST
2011
205views Hardware» more  MST 2011»
13 years 2 months ago
Sublinear Time Algorithms for Earth Mover's Distance
We study the problem of estimating the Earth Mover’s Distance (EMD) between probability distributions when given access only to samples of the distributions. We give closeness t...
Khanh Do Ba, Huy L. Nguyen, Huy N. Nguyen, Ronitt ...
ICASSP
2011
IEEE
12 years 11 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
EUROGP
2001
Springer
124views Optimization» more  EUROGP 2001»
13 years 12 months ago
An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
Massimiliano Erba, Roberto Rossi, Valentino Libera...
ATAL
2007
Springer
14 years 1 months ago
Bidding algorithms for a distributed combinatorial auction
Distributed allocation and multiagent coordination problems can be solved through combinatorial auctions. However, most of the existing winner determination algorithms for combina...
Benito Mendoza García, José M. Vidal