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Titlebook: Genetic Programming Theory and Practice XIII; Rick Riolo,W.P.‘Worzel,Arthur Kordon Book 2016 Springer International Publishing Switzerland

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发表于 2025-3-21 19:28:25 | 显示全部楼层 |阅读模式
书目名称Genetic Programming Theory and Practice XIII
编辑Rick Riolo,W.P.‘Worzel,Arthur Kordon
视频video
概述Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP).Offers large-scale, real-world applications of GP to a variety of problem domains, including fin
丛书名称Genetic and Evolutionary Computation
图书封面Titlebook: Genetic Programming Theory and Practice XIII; Rick Riolo,W.P.‘Worzel,Arthur Kordon Book 2016 Springer International Publishing Switzerland
描述These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results..
出版日期Book 2016
关键词Feature generation; Genetic programming; Symbolic regression; Machine learning; Evolutionary algorithms;
版次1
doihttps://doi.org/10.1007/978-3-319-34223-8
isbn_softcover978-3-319-81706-4
isbn_ebook978-3-319-34223-8Series ISSN 1932-0167 Series E-ISSN 1932-0175
issn_series 1932-0167
copyrightSpringer International Publishing Switzerland 2016
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GP As If You Meant It: An Exercise for Mindful Practice,g software developers, it’s an exercise designed to help participants hone their skills through mindful practice. Its intent is to surface certain unquestioned habits common in our field: to make the participants painfully aware of the tacit . for certain GP algorithm design decisions they may other
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Highly Accurate Symbolic Regression with Noisy Training Data,ced commercial packages, has become an issue for early adopters. Users expect to have the correct formula returned, especially in cases with zero noise and only one basis function with minimally complex grammar depth..At a minimum, users expect the response surface of the SR tool to be easily unders
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The Evolution of Everything (EvE) and Genetic Programming,essors are sensors that continuously collect data. By 2020, it is projected that there may be more than 20 billion (1000 million) devices connected to the Internet. Collectively these devices are called the Internet of Things (IoT) or the Internet of Everything (IoE). The sheer volume of the data th
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Lexicase Selection for Program Synthesis: A Diversity Analysis,rmance on test cases, considered in random order. When used as the parent selection method in genetic programming, lexicase selection has been shown to provide significant improvements in problem-solving power. In this chapter we investigate the reasons for the success of lexicase selection, focusin
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发表于 2025-3-23 02:47:43 | 显示全部楼层
Behavioral Program Synthesis: Insights and Prospects,-output mapping. The number of passed tests, or the total error in continuous domains, is a natural objective measure of a program’s performance and a common yardstick when experimentally comparing algorithms. In GP, it is also by default used to . the evolutionary search process. An assumption that
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Using Graph Databases to Explore the Dynamics of Genetic Programming Runs,ften obscure or completely mask the profusion of specific selections, crossovers, and mutations that are ultimately responsible for the aggregate behaviors we’re interested in. In this chapter we take a different approach and use the Neo4j graph database system to record and analyze the entire genea
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