Grammatical Evolution
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Grammatical Evolution
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Author : Michael O'Neill
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Grammatical Evolution written by Michael O'Neill and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.
Handbook Of Grammatical Evolution
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Author : Conor Ryan
language : en
Publisher: Springer
Release Date : 2018-09-11
Handbook Of Grammatical Evolution written by Conor Ryan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-11 with Computers categories.
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 detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials
Foundations In Grammatical Evolution For Dynamic Environments
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Author : Ian Dempsey
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-07
Foundations In Grammatical Evolution For Dynamic Environments written by Ian Dempsey and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-07 with Mathematics categories.
Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.
Constituent Grammatical Evolution
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Author : Loukas Georgiou
language : en
Publisher:
Release Date : 2012
Constituent Grammatical Evolution written by Loukas Georgiou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
The Evolution Of Grammar
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Author : Joan Bybee
language : en
Publisher: University of Chicago Press
Release Date : 1994-11-15
The Evolution Of Grammar written by Joan Bybee and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-11-15 with Language Arts & Disciplines categories.
Joan Bybee and her colleagues present a new theory of the evolution of grammar that links structure and meaning in a way that directly challenges most contemporary versions of generative grammar. This study focuses on the use and meaning of grammatical markers of tense, aspect, and modality and identifies a universal set of grammatical categories. The authors demonstrate that the semantic content of these categories evolves gradually and that this process of evolution is strikingly similar across unrelated languages. Through a survey of seventy-six languages in twenty-five different phyla, the authors show that the same paths of change occur universally and that movement along these paths is in one direction only. This analysis reveals that lexical substance evolves into grammatical substance through various mechanisms of change, such as metaphorical extension and the conventionalization of implicature. Grammaticization is always accompanied by an increase in frequency of the grammatical marker, providing clear evidence that language use is a major factor in the evolution of synchronic language states. The Evolution of Grammar has important implications for the development of language and for the study of cognitive processes in general.
Context Sensitive Grammatical Evolution
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Author : James Vincent Patten
language : en
Publisher:
Release Date : 2020
Context Sensitive Grammatical Evolution written by James Vincent Patten and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Structured Grammatical Evolution Applied To Program Synthesis
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Author : Andrew H. Zhang (M. Eng.)
language : en
Publisher:
Release Date : 2019
Structured Grammatical Evolution Applied To Program Synthesis written by Andrew H. Zhang (M. Eng.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Grammatical Evolution (GE) is an evolutionary algorithm that is gaining popularity due to its ability to solve problems where it would be impossible to explore every solution within a realistic time. Structured Grammatical Evolution (SGE) was developed to overcome some of the shortcomings of GE, such as locality issues as well as wrapping around the genotype to complete the phenotype. In this paper, we apply SGE to program synthesis, where the computer must generate code to solve algorithmic problems. SGE was improved upon, because the current definition of SGE does not work. Given that the solution space is very large for possible codes, we aim to improve the efficiency of GE in converging to the correct solution. We present a method in which to remove cycles from a grammar for SGE, to be able to make sure that a genotype matches to a phenotype with reusing parts of the genotype, and analyze results to shed insight on future improvements.
Automatic Production Selection In Grammatical Evolution
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Author : Muhammad Sarmad Ali
language : en
Publisher:
Release Date : 2023
Automatic Production Selection In Grammatical Evolution written by Muhammad Sarmad Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
Foundations In Grammatical Evolution For Dynamic Environments
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Author : Ian Dempsey
language : en
Publisher: Springer
Release Date : 2009-03-18
Foundations In Grammatical Evolution For Dynamic Environments written by Ian Dempsey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-18 with Mathematics categories.
Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.
Grammatical Evolution In Dynamic Environments
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Author : Ian Dempsey
language : en
Publisher:
Release Date : 2007
Grammatical Evolution In Dynamic Environments written by Ian Dempsey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.