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Titlebook: Handbook of Grammatical Evolution; Conor Ryan,Michael O‘Neill,JJ Collins Book 2018 Springer International Publishing AG, part of Springer

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發(fā)表于 2025-3-21 17:22:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Grammatical Evolution
編輯Conor Ryan,Michael O‘Neill,JJ Collins
視頻videohttp://file.papertrans.cn/422/421399/421399.mp4
概述Examines the state of the art in Grammatical Evolution.Demonstrates a variety of significant applications for Grammatical Evoluation.Provides literature review and reflection spanning two decades of r
圖書封面Titlebook: Handbook of Grammatical Evolution;  Conor Ryan,Michael O‘Neill,JJ Collins Book 2018 Springer International Publishing AG, part of Springer
描述.This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE‘s simplicity and modular nature make it a very flexible tool.??? Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics.?? Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization...The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.??..The contributions in this volume are beneficial to both novices and experts alike, as they
出版日期Book 2018
關(guān)鍵詞Grammatical evolution; Machine learning; Automatic programming; Evolutionary computation; Artificial lif
版次1
doihttps://doi.org/10.1007/978-3-319-78717-6
isbn_softcover978-3-030-08772-2
isbn_ebook978-3-319-78717-6
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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發(fā)表于 2025-3-21 23:47:30 | 只看該作者
Structured Grammatical Evolution: A Dynamic Approach,here is no need to pre-process the grammar, as it is expanded on the fly during the evolutionary process, and thus we only need to define the maximum tree depth. Additionally, it only encodes the integers that are used in the genotype to phenotype mapping, and grows as needed during evolution. Exper
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Multi- and Many-Threaded Heterogeneous Parallel Grammatical Evolution,where both the breeding and evaluation are parallelized. In the studied benchmarks, the overall parallel implementation runtime was 68 times faster than the sequential version, with the program evaluation kernel alone hitting an acceleration of 350 times. Details on how to efficiently accomplish tha
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Comparing Methods to Creating Constants in Grammatical Evolution,increasingly larger individuals, GE—after an initial growth or drop in sizes—tends to keep individual sizes stable despite no explicit mechanisms to control size growth. Furthermore, various GE setups perform acceptably well on unseen test data and typically outperform GP. Overall, these results enc
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Design, Architecture, and Engineering with Grammatical Evolution,ions of GE provide a basis for objective mathematically-based fitness evaluations. Finally, these two techniques can be combined to allow the designer to decide exactly how balance the optimisation and exploration of the process.
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發(fā)表于 2025-3-22 15:29:41 | 只看該作者
Grammatical Evolution and Creativity,re autonomously creative if this is the a priori goal of the proposed experiment. Furthermore, we propose that evolutionary systems, and in particular GE, are highly suitable to the study of creativity as they can offer much scope in representation through grammars while allowing exploration and the
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