%0 Conference Paper %1 Siwei:2005:pICWCNMC %A Siwei, Jiang %A Zhihua, Cai %A Dan, Zeng %A Yadong, Liu %A Qu, Li %B Proceedings International Conference on Wireless Communications, Networking and Mobile Computing %D 2005 %I IEEE %K Expression Gene Programming, algorithms, annealing chromosomes, computer genetic genotype linear phenotype programming, programs, simulated system, %P 1264--1267 %R doi:10.1109/WCNM.2005.1544273 %T Gene expression programming based on simulated annealing %V 2 %X 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.

@inproceedings{Siwei:2005:pICWCNMC, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Siwei, Jiang and Zhihua, Cai and Dan, Zeng and Yadong, Liu and Qu, Li}, biburl = {https://www.bibsonomy.org/bibtex/23bec2bfd31474b3ba588f7f48af41d41/brazovayeye}, booktitle = {Proceedings International Conference on Wireless Communications, Networking and Mobile Computing}, doi = {doi:10.1109/WCNM.2005.1544273}, interhash = {5315f954c03c0bc0794c45cf482051a9}, intrahash = {3bec2bfd31474b3ba588f7f48af41d41}, keywords = {Expression Gene Programming, algorithms, annealing chromosomes, computer genetic genotype linear phenotype programming, programs, simulated system,}, month = {23-26 September}, notes = {Coll. of Comput., China Univ. of Geosciences, Wuhan, China INSPEC Accession Number:8775628}, pages = {1264--1267}, publisher = {IEEE}, timestamp = {2008-06-19T17:51:47.000+0200}, title = {Gene expression programming based on simulated annealing}, volume = 2, year = 2005 }