Characterising continuous optimisation problems for particle swarm optimisation performance prediction
Real-world optimisation problems are often very complex. Population-based metaheuristics, such as evolutionary algorithms and particle swarm optimisation (PSO) algorithms, have been successful in solving many of these problems, but it is well known that they sometimes fail. Over the last few decade...
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| Language: | en |
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2014
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| Online Access: | http://hdl.handle.net/2263/37128 Malan, KM 2014, Characterising continuous optimisation problems for particle swarm optimisation performance prediction, PhD thesis, University of Pretoria, Pretoria, viewed yymmdd<http://hdl.handle.net/2263/37128> |