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Titlebook: Intelligent Information Systems 2001; Proceedings of the I Mieczysław A. Kłopotek,Maciej Michalewicz,Sławomir Conference proceedings 2001 S

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书目名称Intelligent Information Systems 2001
副标题Proceedings of the I
编辑Mieczysław A. Kłopotek,Maciej Michalewicz,Sławomir
视频video
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: Intelligent Information Systems 2001; Proceedings of the I Mieczysław A. Kłopotek,Maciej Michalewicz,Sławomir Conference proceedings 2001 S
描述This volume contains articles accepted for presentation during The Intelli­ gent Information Systems Symposium IIS‘2001 which was held in Zakopane, Poland, on June 18-22, 200l. This is tenth, in the order, symposium orga­ nized by the Institute of Computer Science of Polish Academy of Sciences and devoted to new trends in (broadly understood) Artificial Intelligence. The idea of organizing such meetings dates back to 1992. Our main in­ tention guided the first, rather small-audience, workshop in the series was to resume the results gained in Polish scientific centers as well as contrast them with the esea r rch performed by Polish scientists working at the uni­ versities in Europe and USA. This idea proved to be attractive enough that we decided to continue such meetings. As the years went by, the workshops has transformed into regular symposia devoted to such fields like Machine Learning, Knowledge Discovery, Natural Language Processing, Knowledge Based Systems and Reasoning, and Soft Computing (i.e. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evolutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually p
出版日期Conference proceedings 2001
关键词Bayesian network; Data Mining; Evolution; Fuzzy; Intelligent Information Systems; Machine Learning; Soft C
版次1
doihttps://doi.org/10.1007/978-3-7908-1813-0
isbn_softcover978-3-7908-1407-1
isbn_ebook978-3-7908-1813-0Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Multimodal Optimization with Artificial Immune SystemsA simple and easy to implement algorithm for multimodal function optimization is proposed. It is based on clonal selection and programmed cell death mechanisms taken from natural immune system. Empirical results confirming its usability are presented, and review of other related approaches is given.
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Intelligent Information Systems 2001978-3-7908-1813-0Series ISSN 1867-5662 Series E-ISSN 1867-5670
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