%0 Conference Paper %1 Shan:2003:Pewel %A Shan, Y. %A McKay, R. I. %A Abbass, H. A. %A Essam, D. %B Proceedings of the 2003 Congress on Evolutionary Computation CEC2003 %C Canberra %D 2003 %E Sarker, Ruhul %E Reynolds, Robert %E Abbass, Hussein %E Tan, Kay Chen %E McKay, Bob %E Essam, Daryl %E Gedeon, Tom %I IEEE Press %K algorithms, genetic programming %P 1639--1646 %T Program evolution with explicit learning: a New Framework for Program Automatic Synthesis %U http://citeseer.ist.psu.edu/560804.html %X In Genetic Programming (GP) and most of the other evolutionary computing approaches, the knowledge which is learned during the evolutionary processing is implicitly encoded in the population. In this research, we proposed a new approach for program synthesis -- Program Evolution with Explicit Learning (PEEL), which learns and makes use of this knowledge explicitly. PEEL learns probability distribution from previous generations and stochastically generates new populations according to this distribution. On the benchmark problems we have studied, this approach can synthesize more compact and more accurate programs than GP. %@ 0-7803-7804-0

@inproceedings{Shan:2003:Pewel, abstract = {In Genetic Programming (GP) and most of the other evolutionary computing approaches, the knowledge which is learned during the evolutionary processing is implicitly encoded in the population. In this research, we proposed a new approach for program synthesis -- Program Evolution with Explicit Learning (PEEL), which learns and makes use of this knowledge explicitly. PEEL learns probability distribution from previous generations and stochastically generates new populations according to this distribution. On the benchmark problems we have studied, this approach can synthesize more compact and more accurate programs than GP.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Canberra}, author = {Shan, Y. and McKay, R. I. and Abbass, H. A. and Essam, D.}, biburl = {https://www.bibsonomy.org/bibtex/2630a7f3b2b22f6198684928ae14c629b/brazovayeye}, booktitle = {Proceedings of the 2003 Congress on Evolutionary Computation CEC2003}, editor = {Sarker, Ruhul and Reynolds, Robert and Abbass, Hussein and Tan, Kay Chen and McKay, Bob and Essam, Daryl and Gedeon, Tom}, interhash = {32a70b7d794a962b8bba63a1d4e693bb}, intrahash = {630a7f3b2b22f6198684928ae14c629b}, isbn = {0-7803-7804-0}, keywords = {algorithms, genetic programming}, month = {8-12 December}, notes = {CEC 2003 - A joint meeting of the IEEE, the IEAust, the EPS, and the IEE.}, organisation = {IEEE Neural Network Council (NNC), Engineers Australia (IEAust), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)}, pages = {1639--1646}, publisher = {IEEE Press}, publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA}, timestamp = {2008-06-19T17:51:32.000+0200}, title = {Program evolution with explicit learning: a New Framework for Program Automatic Synthesis}, url = {http://citeseer.ist.psu.edu/560804.html}, year = 2003 }