PSOGP: A Genetic Programming Based Adaptable Evolutionary Hybrid Particle Swarm Optimization
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- @Article{Rashid:2010:IJICIC,
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author = "Muhammad Rashid and A. {Rauf Baig}",
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title = "PSOGP: A Genetic Programming Based Adaptable
Evolutionary Hybrid Particle Swarm Optimization",
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journal = "International Journal of Innovative Computing,
Information and Control",
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year = "2010",
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volume = "6",
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number = "1",
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pages = "287--296",
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month = jan,
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email = "rashid.nuces@gmail.com",
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keywords = "genetic algorithms, genetic programming, particle
swarm optimisation, function optimisation, evolution,
velocity update equation",
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ISSN = "1349-4198",
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URL = "http://www.ijicic.org/icic08-si01-13-1.pdf",
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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. We compare two variations of our
algorithm, one using random initialisation while in the
second one we use partial non-random initalization
which forces some particles to use the standard PSO
velocity update equation. Results from experimentation
suggest that the modified PSO with complete random
initialisation shows promise and has potential for
improvement. It is particularly very good at finding
the exact optimum.",
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notes = "http://www.ijicic.org/",
- }
Genetic Programming entries for
Muhammad Rashid
Abdul Rauf Baig
Citations