Optimization via Parameter Mapping with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Pujol:PPSN:2004,
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author = "Joao C. F. Pujol and Riccardo Poli",
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title = "Optimization via Parameter Mapping with Genetic
Programming",
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booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
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year = "2004",
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editor = "Xin Yao and Edmund Burke and Jose A. Lozano and
Jim Smith and Juan J. Merelo-Guerv\'os and
John A. Bullinaria and Jonathan Rowe and
Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
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volume = "3242",
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pages = "382--390",
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series = "LNCS",
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address = "Birmingham, UK",
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publisher_address = "Berlin",
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month = "18-22 " # sep,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, DE, PSO",
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ISBN = "3-540-23092-0",
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URL = "http://cswww.essex.ac.uk/staff/rpoli/papers/ppsnpujol2004.pdf",
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URL = "https://rdcu.be/dc0kW",
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DOI = "doi:10.1007/b100601",
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DOI = "doi:10.1007/978-3-540-30217-9_39",
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abstract = "parameter optimisation that uses a novel
representation for the parameters to be optimized. By
using genetic programming, the new method evolves
functions that transform initial random values for the
parameters into optimal ones. This new representation
allows the incorporation of knowledge about the problem
being solved. Moreover, the new approach addresses the
scalability problem by using a representation that, in
principle, is independent of the size of the problem
being addressed. Promising results are reported,
comparing the new method with differential evolution
and particle swarm optimisation on a test suite of
benchmark problems.",
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notes = "PPSN-VIII",
- }
Genetic Programming entries for
Joao Carlos Figueira Pujol
Riccardo Poli
Citations