Gene expression programming based on simulated annealing

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jiang Siwei and Cai Zhihua and Zeng Dan and 
                 Liu Yadong and Li Qu",
  title =        "Gene expression programming based on simulated
  booktitle =    "Proceedings International Conference on Wireless
                 Communications, Networking and Mobile Computing",
  year =         "2005",
  volume =       "2",
  pages =        "1264--1267",
  month =        "23-26 " # sep,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, computer programs, genotype
                 system, linear chromosomes, phenotype system, simulated
  DOI =          "doi:10.1109/WCNM.2005.1544273",
  abstract =     "Gene expression programming (GEP) is a
                 genotype/phenotype system that evolves computer
                 programs of different sizes and shapes encoded in
                 linear chromosomes of fixed length. However, the
                 performance of basic GEP is highly dependent on the
                 genetic operators' rate. In this work, we present a new
                 algorithm called GEPSA that combines GEP and simulated
                 annealing (SA), and GEPSA decreases the dependence on
                 genetic operators' rate without impairing the
                 performance of GEP. Three function finding problems,
                 including a benchmark problem of prediction sunspots,
                 are tested on GEPSA, results shows that importing
                 simulated annealing can improve the performance of
  notes =        "Coll. of Comput., China Univ. of Geosciences, Wuhan,
                 China INSPEC Accession Number:8775628",

Genetic Programming entries for Jiang Siwei Cai Zhihua Zeng Dan Liu Yadong Qu Li