An efficient memetic genetic programming framework for symbolic regression

[1] Chen Q(2018)Improving generalisation of genetic programming for symbolic regression with angle-driven geometric semantic operators IEEE Trans Evolut Comput 21 792-806

[2] Xue B(2017)Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression IEEE Trans Evolut Comput 15 591-607

[3] Zhang M(2011)A multi-facet survey on memetic computation IEEE Trans Evolut Comput 47 547-553

[4] Chen Q(2009)Modeling wine preferences by data mining from physicochemical properties Decis Support Syst 6 182-197

[5] Zhang M(2002)A fast and elitist multiobjective genetic algorithm: Nsga-ii IEEE Trans Evolut Comput 12 23-36

[6] Xue B(2019)A memetic algorithm with optimal recombination for the asymmetric travelling salesman problem Memet Comput 40 121-144

[7] Chen X(2010)A survey on the application of genetic programming to classification IEEE Trans Syst Man Cybern C (Appl Rev) 47 2938-2950

[8] Ong Y(2017)Multilayer optimization of heterogeneous networks using grammatical genetic programming IEEE Trans Cybern 220 671-680

[9] Lim M(1983)Optimization by simulated annealing Science 11 431-441

[10] Tan KC(1963)An algorithm for least-squares estimation of nonlinear parameters J Soc Ind Appl Math 1 85-100

[1] Chen Q(2018)Improving generalisation of genetic programming for symbolic regression with angle-driven geometric semantic operators IEEE Trans Evolut Comput 21 792-806

[2] Xue B(2017)Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression IEEE Trans Evolut Comput 15 591-607

[3] Zhang M(2011)A multi-facet survey on memetic computation IEEE Trans Evolut Comput 47 547-553

[4] Chen Q(2009)Modeling wine preferences by data mining from physicochemical properties Decis Support Syst 6 182-197

[5] Zhang M(2002)A fast and elitist multiobjective genetic algorithm: Nsga-ii IEEE Trans Evolut Comput 12 23-36

[6] Xue B(2019)A memetic algorithm with optimal recombination for the asymmetric travelling salesman problem Memet Comput 40 121-144

[7] Chen X(2010)A survey on the application of genetic programming to classification IEEE Trans Syst Man Cybern C (Appl Rev) 47 2938-2950

[8] Ong Y(2017)Multilayer optimization of heterogeneous networks using grammatical genetic programming IEEE Trans Cybern 220 671-680

[9] Lim M(1983)Optimization by simulated annealing Science 11 431-441

[10] Tan KC(1963)An algorithm for least-squares estimation of nonlinear parameters J Soc Ind Appl Math 1 85-100