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» On the scalability of particle swarm optimisation
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GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
14 years 1 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli
GECCO
2007
Springer
262views Optimization» more  GECCO 2007»
14 years 1 months ago
Geometric particle swarm optimization for the sudoku puzzle
Geometric particle swarm optimization (GPSO) is a recently introduced generalization of traditional particle swarm optimization (PSO) that applies to all combinatorial spaces. The...
Alberto Moraglio, Julian Togelius
IPPS
2009
IEEE
14 years 1 months ago
The effect of population density on the performance of a spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of multi-objective problems in engineering design and scientific investigation. This paper inves...
Andrew Lewis
CEC
2009
IEEE
14 years 1 months ago
Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
Ian Scriven, Andrew Lewis, Sanaz Mostaghim
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
14 years 1 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