| Document Date: 2006-06-28 06:45:49
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Facility University of Essex / / IndustryTerm search parameters / extended particle swarm systems / random search / unknown ways optimisation algorithms / hyper-heuristic algorithms / mutation algorithm / search proceeds / co-evolutionary systems / continuous optimisation algorithms / industrial strength algorithms / search performances / search problem / search points / swarm best solution / optimisation algorithm / evolutionary algorithms / real world optimisation algorithms / search heuristics / swarm best solutions / search algorithms / / OperatingSystem PSOs / / Organization Congress / Search Algorithms W. B. Langdon and Riccardo Poli Department of Computer Science / University of Essex / / Person Nikolaus Hansen / / Position hill climber / intelligent hill-climber / / ProgrammingLanguage Java / / ProvinceOrState Delaware / / Technology optimisation algorithm / continuous optimisation algorithms / previously unknown ways optimisation algorithms / optimisation algorithms / Java / three search algorithms / industrial strength algorithms / hyper-heuristic algorithms / PSOs / mutation algorithm / evolutionary algorithms / /
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Evolving Problems to Learn about Particle Swarm Optimisers and other Search Algorithms W. B. Langdon and Riccardo Poli Department of Computer Science, University of Essex. Technical Report CSM-455 Date : : 2