Gene expression programming based on simulated annealing

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@InProceedings{Siwei:2005:pICWCNMC,

• author = "Jiang Siwei and Cai Zhihua and Zeng Dan and Liu Yadong and Li Qu",
• title = "Gene expression programming based on simulated annealing",
• 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 annealing",
• 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 GEP.",
• 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

Citations