%0 Conference Paper %1 1277072 %A Looks, Moshe %B GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation %C London %D 2007 %E Thierens, Dirk %E Beyer, Hans-Georg %E Bongard, Josh %E Branke, Jurgen %E Clark, John Andrew %E Cliff, Dave %E Congdon, Clare Bates %E Deb, Kalyanmoy %E Doerr, Benjamin %E Kovacs, Tim %E Kumar, Sanjeev %E Miller, Julian F. %E Moore, Jason %E Neumann, Frank %E Pelikan, Martin %E Poli, Riccardo %E Sastry, Kumara %E Stanley, Kenneth Owen %E Stutzle, Thomas %E Watson, Richard A %E Wegener, Ingo %I ACM Press %K Algorithms, Distribution Estimation Study, algorithms, empirical genetic heuristics, of optimisation, programming, representation %P 539--546 %T Scalable estimation-of-distribution program evolution %U http://doi.acm.org/10.1145/1276958.1277072 %V 1 %X I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representation-building procedure that exploits domain knowledge is used to dynamically select program subspaces for estimation over. This leads to a system of demes consisting of alternative representations (i.e. program subspaces) that are maintained simultaneously and managed by the overall system. Meta-optimising semantic evolutionary search (MOSES), a program evolution system based on this approach, is described, and its representation-building subcomponent is analysed in depth. Experimental results are also provided for the overall MOSES procedure that demonstrate good scalability.

@inproceedings{1277072, abstract = {I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representation-building procedure that exploits domain knowledge is used to dynamically select program subspaces for estimation over. This leads to a system of demes consisting of alternative representations (i.e. program subspaces) that are maintained simultaneously and managed by the overall system. Meta-optimising semantic evolutionary search (MOSES), a program evolution system based on this approach, is described, and its representation-building subcomponent is analysed in depth. Experimental results are also provided for the overall MOSES procedure that demonstrate good scalability.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {London}, author = {Looks, Moshe}, biburl = {https://www.bibsonomy.org/bibtex/2d11b00012bfd666c4f2918331b8a4db8/brazovayeye}, booktitle = {GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation}, editor = {Thierens, Dirk and Beyer, Hans-Georg and Bongard, Josh and Branke, Jurgen and Clark, John Andrew and Cliff, Dave and Congdon, Clare Bates and Deb, Kalyanmoy and Doerr, Benjamin and Kovacs, Tim and Kumar, Sanjeev and Miller, Julian F. and Moore, Jason and Neumann, Frank and Pelikan, Martin and Poli, Riccardo and Sastry, Kumara and Stanley, Kenneth Owen and Stutzle, Thomas and Watson, Richard A and Wegener, Ingo}, interhash = {5d07acaf5d95580c25f9001ab24791aa}, intrahash = {d11b00012bfd666c4f2918331b8a4db8}, isbn13 = {978-1-59593-697-4}, keywords = {Algorithms, Distribution Estimation Study, algorithms, empirical genetic heuristics, of optimisation, programming, representation}, month = {7-11 July}, notes = {GECCO-2007 A joint meeting of the sixteenth international conference on genetic algorithms (ICGA-2007) and the twelfth annual genetic programming conference (GP-2007). ACM Order Number 910071 New initialisation scheme but disappointingly no big performance boost. Parity (AND OR NOT) Mux6 Mux-11. Semantic sampling. C++. Holman Elegant normal form (cf. http://www.patterncraft.com/) ENF Catalan lil-gp.}, organisation = {ACM SIGEVO (formerly ISGEC)}, pages = {539--546}, publisher = {ACM Press}, publisher_address = {New York, NY, USA}, size = {7 pages}, timestamp = {2008-06-19T17:45:48.000+0200}, title = {Scalable estimation-of-distribution program evolution}, url = {http://doi.acm.org/10.1145/1276958.1277072}, volume = 1, year = 2007 }