%0 Conference Paper %1 zhang:evows07 %A Zhang, Mengjie %A Fogelberg, Christopher Graeme %B Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog %C Valencia, Spain %D 2007 %E Giacobini, Mario %E Brabazon, Anthony %E Cagnoni, Stefano %E Di Caro, Gianni A. %E Drechsler, Rolf %E Farooq, Muddassar %E Fink, Andreas %E Lutton, Evelyne %E Machado, Penousal %E Minner, Stefan %E O'Neill, Michael %E Romero, Juan %E Rothlauf, Franz %E Squillero, Giovanni %E Takagi, Hideyuki %E Uyar, A. Sima %E Yang, Shengxiang %I Springer Verlag %K algorithms, genetic programming %P 340--350 %R doi:10.1007/978-3-540-71805-5_37 %T Genetic Programming for Image Recognition: An LGP Approach %V 4448 %X This paper describes a linear genetic programming approach to multi-class image recognition problems. A new fitness function is introduced to approximate the true feature space. The results show that this approach outperforms the basic tree based genetic programming approach on all the tasks investigated here and that the programs evolved by this approach are easier to interpret. The investigation on the extra registers and program length results in heuristic guidelines for initially setting system parameters.

@inproceedings{zhang:evows07, abstract = {This paper describes a linear genetic programming approach to multi-class image recognition problems. A new fitness function is introduced to approximate the true feature space. The results show that this approach outperforms the basic tree based genetic programming approach on all the tasks investigated here and that the programs evolved by this approach are easier to interpret. The investigation on the extra registers and program length results in heuristic guidelines for initially setting system parameters.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Valencia, Spain}, author = {Zhang, Mengjie and Fogelberg, Christopher Graeme}, biburl = {https://www.bibsonomy.org/bibtex/2d76cdab6c34d49265228eb387e420e5f/brazovayeye}, booktitle = {Applications of Evolutionary Computing, EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP}, {EvoInteraction}, {EvoMUSART}, {EvoSTOC}, {EvoTransLog}}, doi = {doi:10.1007/978-3-540-71805-5_37}, editor = {Giacobini, Mario and Brabazon, Anthony and Cagnoni, Stefano and {Di Caro}, Gianni A. and Drechsler, Rolf and Farooq, Muddassar and Fink, Andreas and Lutton, Evelyne and Machado, Penousal and Minner, Stefan and O'Neill, Michael and Romero, Juan and Rothlauf, Franz and Squillero, Giovanni and Takagi, Hideyuki and Uyar, A. Sima and Yang, Shengxiang}, interhash = {d82d77eafeb4e79892888454750f50be}, intrahash = {d76cdab6c34d49265228eb387e420e5f}, isbn13 = {978-3-540-71804-8}, keywords = {algorithms, genetic programming}, month = {11-13 April}, notes = {EvoWorkshops2007}, pages = {340--350}, publisher = {Springer Verlag}, series = {LNCS}, timestamp = {2008-06-19T17:55:45.000+0200}, title = {Genetic Programming for Image Recognition: An {LGP} Approach}, volume = 4448, year = 2007 }