| 书目名称 | Genetic Programming Theory and Practice IX | | 编辑 | Rick Riolo,Ekaterina Vladislavleva,Jason H. Moore | | 视频video | | | 概述 | Describes cutting-edge work on genetic programming (GP) theory, applications of GP, and how theory can be used to guide application of GP Demonstrates large-scale applications of GP to a variety of pr | | 丛书名称 | Genetic and Evolutionary Computation | | 图书封面 |  | | 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 include: modularity and scalability; evolvability;human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning.This text isfor all GP explorers.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 2011 | | 关键词 | FFX; automatic programming; computational complexity; evolutionary games; genetic programming; novelty se | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-1770-5 | | isbn_softcover | 978-1-4614-2941-8 | | isbn_ebook | 978-1-4614-1770-5Series ISSN 1932-0167 Series E-ISSN 1932-0175 | | issn_series | 1932-0167 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 17:01:10
