%0 Journal Article %1 cagnoni:2005:SMC %A Cagnoni, Stefano %A Bergenti, Federico %A Mordonini, Monica %A Adorni, Giovanni %D 2005 %J IEEE Transactions on Systems, Man and Cybernetics - Part B %K algorithms, cellular classifiers, code genetic multiple pattern programming, recognition sub-machine %N 3 %P 548--555 %R doi:10.1109/TSMCB.2005.846671 %T Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases %V 35 %X We describe two versions of a novel approach to developing binary classifiers, based on two evolutionary computation paradigms: cellular programming and genetic programming. Such an approach achieves high computation efficiency both during evolution and at runtime. Evolution speed is optimised by allowing multiple solutions to be computed in parallel. Runtime performance is optimized explicitly using parallel computation in the case of cellular programming or implicitly, taking advantage of the intrinsic parallelism of bitwise operators on standard sequential architectures in the case of genetic programming. The approach was tested on a digit recognition problem and compared to a reference classifier.

@article{cagnoni:2005:SMC, abstract = {We describe two versions of a novel approach to developing binary classifiers, based on two evolutionary computation paradigms: cellular programming and genetic programming. Such an approach achieves high computation efficiency both during evolution and at runtime. Evolution speed is optimised by allowing multiple solutions to be computed in parallel. Runtime performance is optimized explicitly using parallel computation in the case of cellular programming or implicitly, taking advantage of the intrinsic parallelism of bitwise operators on standard sequential architectures in the case of genetic programming. The approach was tested on a digit recognition problem and compared to a reference classifier.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Cagnoni, Stefano and Bergenti, Federico and Mordonini, Monica and Adorni, Giovanni}, biburl = {https://www.bibsonomy.org/bibtex/2c9b148e499ae76573d8f683c3e51de6d/brazovayeye}, doi = {doi:10.1109/TSMCB.2005.846671}, email = {cagnoni@ce.unipr.it}, interhash = {e1edaa4203c3294bc8ec7d030b0f1938}, intrahash = {c9b148e499ae76573d8f683c3e51de6d}, issn = {1083-4419}, journal = {IEEE Transactions on Systems, Man and Cybernetics - Part B}, keywords = {algorithms, cellular classifiers, code genetic multiple pattern programming, recognition sub-machine}, month = {June}, notes = {PMID: 15971922 [PubMed - indexed for MEDLINE]}, number = 3, pages = {548--555}, size = {8 pages}, timestamp = {2008-06-19T17:37:12.000+0200}, title = {Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases}, volume = 35, year = 2005 }