Geometric Particle Swarm Optimization
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{eurogp07:moraglio,
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author = "Alberto Moraglio and Cecilia {Di Chio} and
Riccardo Poli",
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title = "Geometric Particle Swarm Optimization",
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editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and
Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
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booktitle = "Proceedings of the 10th European Conference on Genetic
Programming",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4445",
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year = "2007",
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address = "Valencia, Spain",
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month = "11-13 " # apr,
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pages = "125--136",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-71602-5",
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isbn13 = "978-3-540-71602-0",
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DOI = "doi:10.1007/978-3-540-71605-1_12",
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abstract = "Using a geometric framework for the interpretation of
crossover of recent introduction, we show an intimate
connection between particle swarm optimisation (PSO)
and evolutionary algorithms. This connection enables us
to generalise PSO to virtually any solution
representation in a natural and straightforward way. We
demonstrate this for the cases of Euclidean, Manhattan
and Hamming spaces.",
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notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
- }
Genetic Programming entries for
Alberto Moraglio
Cecilia Di Chio
Riccardo Poli
Citations