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» Nonlinear mapping using particle swarm optimisation
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EVOW
2009
Springer
13 years 10 months ago
Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...
Volker Nissen, Maik Günther
CEC
2008
IEEE
14 years 25 days ago
Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more tradition...
Ian Scriven, Andrew Lewis, David Ireland, Junwei L...
CEC
2008
IEEE
14 years 25 days ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
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
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 16 days ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels