%0 Conference Paper %1 poli:1997:user %A Poli, Riccardo %A Cagnoni, Stefano %B Genetic Programming 1997: Proceedings of the Second Annual Conference %C Stanford University, CA, USA %D 1997 %E Koza, John R. %E Deb, Kalyanmoy %E Dorigo, Marco %E Fogel, David B. %E Garzon, Max %E Iba, Hitoshi %E Riolo, Rick L. %I Morgan Kaufmann %K algorithms, genetic programming %P 269--277 %T Genetic Programming with User-Driven Selection: Experiments on the Evolution of Algorithms for Image Enhancement %U http://citeseer.ist.psu.edu/334133.html %X In this paper we present an approach to the interactive development of programs for image enhancement with Genetic Programming (GP) based on pseudocolour transformations. In our approach the user drives GP by deciding which individual should be the winner in tournament selection. The presence of the user does not only allow running GP without a fitness function but it also transforms GP into a very efficient search procedure capable of producing effective solutions to real-life problems in only hundreds of evaluations. In the paper we also propose a strategy to further reduce user interaction: we record the choices made by the user in interactive runs and we later use them to build a model which can replace him/her in longer runs. Experimental results with interactive GP and with our user-modelling strategy are also reported.

@inproceedings{poli:1997:user, abstract = {In this paper we present an approach to the interactive development of programs for image enhancement with Genetic Programming (GP) based on pseudocolour transformations. In our approach the user drives GP by deciding which individual should be the winner in tournament selection. The presence of the user does not only allow running GP without a fitness function but it also transforms GP into a very efficient search procedure capable of producing effective solutions to real-life problems in only hundreds of evaluations. In the paper we also propose a strategy to further reduce user interaction: we record the choices made by the user in interactive runs and we later use them to build a model which can replace him/her in longer runs. Experimental results with interactive GP and with our user-modelling strategy are also reported.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Stanford University, CA, USA}, author = {Poli, Riccardo and Cagnoni, Stefano}, biburl = {https://www.bibsonomy.org/bibtex/2934453c1d59e1d5aea997958e73c89e6/brazovayeye}, booktitle = {Genetic Programming 1997: Proceedings of the Second Annual Conference}, editor = {Koza, John R. and Deb, Kalyanmoy and Dorigo, Marco and Fogel, David B. and Garzon, Max and Iba, Hitoshi and Riolo, Rick L.}, interhash = {08a52aa71c3570f1c915095830631584}, intrahash = {934453c1d59e1d5aea997958e73c89e6}, keywords = {algorithms, genetic programming}, month = {13-16 July}, notes = {GP-97 see also \cite{poli:1997:userTR}}, pages = {269--277}, publisher = {Morgan Kaufmann}, publisher_address = {San Francisco, CA, USA}, timestamp = {2008-06-19T17:49:39.000+0200}, title = {Genetic Programming with User-Driven Selection: Experiments on the Evolution of Algorithms for Image Enhancement}, url = {http://citeseer.ist.psu.edu/334133.html}, year = 1997 }