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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 6 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
88
Voted
ICASSP
2008
IEEE
15 years 7 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
119
Voted
TWC
2011
291views more  TWC 2011»
14 years 7 months ago
On Optimal Cooperator Selection Policies for Multi-Hop Ad Hoc Networks
Abstract—In this paper we consider wireless cooperative multihop networks, where nodes that have decoded the message at the previous hop cooperate in the transmission toward the ...
Michele Rossi, Cristiano Tapparello, Stefano Tomas...
108
Voted
IJCAI
2003
15 years 1 months ago
A Planning Algorithm for Predictive State Representations
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Masoumeh T. Izadi, Doina Precup
104
Voted
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
15 years 6 months ago
Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation
Several theoretical analyses of the dynamics of particle swarms have been offered in the literature over the last decade. Virtually all rely on substantial simplifications, incl...
Riccardo Poli, David S. Broomhead