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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 1 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
PAMI
2007
253views more  PAMI 2007»
13 years 6 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
INFOCOM
2009
IEEE
14 years 2 months ago
The Impact of Mobility on Gossip Algorithms
—We analyze how node mobility can influence the convergence time of averaging gossip algorithms on networks. Our main result is that even a small number of fully mobile nodes ca...
Anand D. Sarwate, Alexandros G. Dimakis
TEC
2002
183views more  TEC 2002»
13 years 7 months ago
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
Maurice Clerc, James Kennedy
ICASSP
2008
IEEE
14 years 1 months ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates