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Titlebook: Learning in Economics; Analysis and Applica Thomas Riechmann Book 2001 Springer-Verlag Berlin Heidelberg 2001 Economic Genetic Algorithms.E

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发表于 2025-3-21 18:52:03 | 显示全部楼层 |阅读模式
书目名称Learning in Economics
副标题Analysis and Applica
编辑Thomas Riechmann
视频videohttp://file.papertrans.cn/583/582962/582962.mp4
概述Includes supplementary material:
丛书名称Contributions to Economics
图书封面Titlebook: Learning in Economics; Analysis and Applica Thomas Riechmann Book 2001 Springer-Verlag Berlin Heidelberg 2001 Economic Genetic Algorithms.E
描述It took me over five years to write this book. Finishing my research project and thus finishing this book would not have been possible without the help of many friends of mine. Thus, the first thing to do is to say ‘Thanks a lot‘ . This means at first place the Evangelisches Studienwerk Haus Villigst. They gave me a grant for my work, thus laying the important financial grounds of everything I‘ve done. There is such a large number of friends I worked and lived with over the last few years that I cannot possibly mention them all by name, but I‘ll try, anyway: So, thanks Christiane, Gilbert, Maik, Karl, and everybody else feeling that his or her name should appear in this list. And, of course, thanks Franz Haslinger, for letting me do whatever I wanted to - and for even encouraging me to stick with it. One more thing I‘d like to mention: Although this work is based on very heavy use of computer power, it is my special pride to say that not a single penny (i.e. Deutschmark) had to be spent for software in order to do this work. Instead, all that has been done has been done by free software. Thus, I would like to mention some of my most heavily used software tools in order to let you,
出版日期Book 2001
关键词Economic Genetic Algorithms; Economic Modeling; Economic Theory; Genetic Algorithms; Genetische Algorith
版次1
doihttps://doi.org/10.1007/978-3-642-57612-6
isbn_softcover978-3-7908-1384-5
isbn_ebook978-3-642-57612-6Series ISSN 1431-1933 Series E-ISSN 2197-7178
issn_series 1431-1933
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Contributions to Economicshttp://image.papertrans.cn/l/image/582962.jpg
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978-3-7908-1384-5Springer-Verlag Berlin Heidelberg 2001
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Final RemarksThe main goal of this book is to show how genetic algorithms can be used in economic modeling. It should have been proved that the question ‘Can genetic algorithms be sensibly used in order to model and analyze economic problems?’ must be answered ‘Yes’.
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https://doi.org/10.1007/978-3-642-57612-6Economic Genetic Algorithms; Economic Modeling; Economic Theory; Genetic Algorithms; Genetische Algorith
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Modifications: Election and Meta-Learningls. Originally, the canonical GA has been developed as a tool for optimization of non economic, static problems. The canonical GA is not a genuine tool for economic, agent based modeling. If a genetic algorithm is to be used as a true metaphor for economic learning, modifications to the canonical form of the algorithm are needed.
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