%0 Report %1 vuw-CS-TR-06-2 %A Zhang, Mengjie %A Gao, Xiaoying %A Lou, Weijun %C New Zealand %D 2006 %K Crossover algorithms, controlled crossover, genetic hybrid looseness points, programming, search %N CS-TR-06-2 %T A New Crossover Operator in GP for Object Classification %U http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-2.pdf %X instead of randomly choosing the crossover points as in the standard crossover operator, we use a measure called looseness to guide the selection of crossover points. Rather than using the genetic beam search only, this approach uses a hybrid beam-hill climbing search scheme in the evolutionary process. This approach is examined and compared with the standard crossover operator and the headless chicken crossover method on a sequence of object classification problems. The results suggest that this approach outperforms both the headless chicken crossover and the standard crossover on all of these problems.

@techreport{vuw-CS-TR-06-2, abstract = {instead of randomly choosing the crossover points as in the standard crossover operator, we use a measure called looseness to guide the selection of crossover points. Rather than using the genetic beam search only, this approach uses a hybrid beam-hill climbing search scheme in the evolutionary process. This approach is examined and compared with the standard crossover operator and the headless chicken crossover method on a sequence of object classification problems. The results suggest that this approach outperforms both the headless chicken crossover and the standard crossover on all of these problems.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {New Zealand}, author = {Zhang, Mengjie and Gao, Xiaoying and Lou, Weijun}, biburl = {https://www.bibsonomy.org/bibtex/27b0dfaebebe8a848eae8598e55f1ce81/brazovayeye}, institution = {Computer Science, Victoria University of Wellington}, interhash = {4b4f7178c2cdb35323ce9e5c44bd507e}, intrahash = {7b0dfaebebe8a848eae8598e55f1ce81}, keywords = {Crossover algorithms, controlled crossover, genetic hybrid looseness points, programming, search}, month = {January}, number = {CS-TR-06-2}, size = {17 pages}, timestamp = {2008-06-19T17:55:36.000+0200}, title = {A New Crossover Operator in {GP} for Object Classification}, url = {http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-2.pdf}, year = 2006 }