Adaptable Evolutionary Particle Swarm Optimization
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- @InProceedings{Rashid:2008:ICICIC,
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author = "Muhammad Rashid and A. {Rauf Baig}",
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title = "Adaptable Evolutionary Particle Swarm Optimization",
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booktitle = "3rd International Conference on Innovative Computing
Information and Control, ICICIC '08",
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year = "2008",
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month = "18-20 " # jun,
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pages = "602--602",
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address = "Dalian, Liaoning China",
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isbn13 = "978-0-7695-3161-8",
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keywords = "genetic algorithms, genetic programming, adaptable
evolutionary methods, particle swarm optimization,
evolutionary computation, particle swarm optimisation",
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DOI = "doi:10.1109/ICICIC.2008.621",
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abstract = "In this study we describe a method for extending
particle swarm optimization. We have presented a novel
approach for avoiding premature convergence to local
minima by the introduction of diversity in the swarm.
The swarm is made more diverse and is encouraged to
explore by employing a mechanism which allows each
particle to use a different equation to update its
velocity. This equation is also continuously evolved
through the use of genetic programming to ensure
adaptability. Results from experimentation show that
the modified PSO performs exceptionally well and is
very good at finding the exact optimum.",
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notes = "Also known as \cite{4603791}",
- }
Genetic Programming entries for
Muhammad Rashid
Abdul Rauf Baig
Citations