Show simple item record

dc.contributor.authorPollmann, Olafen_US
dc.date.accessioned2010-08-04T15:37:25Z
dc.date.available2010-08-04T15:37:25Z
dc.date.issued2009en_US
dc.identifier.citationPollmann, O. 2009. Using evolutionary algorithms to optimize anthropogenic material streams. Applied Artificial Intelligence, 23(9):883-893. [https://doi.org/10.1080/08839510903283339]en_US
dc.identifier.issn0883-9514
dc.identifier.issn1087-6545 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/3444
dc.identifier.urihttps://doi.org/10.1080/08839510903283339
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/08839510903283339
dc.description.abstractTo optimize anthropogenic material streams, the production process, as well as the quality of the products, must be known. With knowledge of these requirements, it is possible to use extra applied algorithms—in this case evolutionary algorithms as part of artificial intelligence—for the optimization of these secondary material streams. The benefit of this application is the fast and precise calculation of the local and global optima of the optimizing problem. This calculation method uses the benefits of the biological reproduction by applications of mutation, selection, and recombination to find one of the best results in a huge amount of possible and potential results. For the use of secondary materials in the paper production it could be proven that in spite of high quotes of secondary materials in different paper classes, there are some paper classes in which the amount of secondary material could be raised without losing any quality.
dc.publisherTaylor & Francis
dc.titleUsing evolutionary algorithms to optimize anthropogenic material streamsen_US
dc.contributor.researchID20942737 - Pollmann, Olaf


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record