Optimization via Parameter Mapping with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Pujol:PPSN:2004,

• author = "Joao C. F. Pujol and Riccardo Poli",
• title = "Optimization via Parameter Mapping with Genetic Programming",
• booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
• year = "2004",
• 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",
• volume = "3242",
• pages = "382--390",
• series = "LNCS",
• address = "Birmingham, UK",
• publisher_address = "Berlin",
• month = "18-22 " # sep,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, DE, PSO",
• ISBN = "3-540-23092-0",
• URL = "http://cswww.essex.ac.uk/staff/rpoli/papers/ppsnpujol2004.pdf",
• URL = "https://rdcu.be/dc0kW",
• DOI = "doi:10.1007/b100601",
• DOI = "doi:10.1007/978-3-540-30217-9_39",
• 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.",
• notes = "PPSN-VIII",

}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

Citations