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Genetic Programming, Castelli


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Автор: Castelli
Название:  Genetic Programming
ISBN: 9783319775524
Издательство: Springer
Классификация:

ISBN-10: 3319775529
Обложка/Формат: Paperback
Страницы: 323
Вес: 5.10 кг.
Дата издания: 2018
Серия: Theoretical Computer Science and General Issues
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 80 illustrations, black and white; xiii, 307 p. 80 illus.
Размер: 234 x 156 x 18
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Algorithm Analysis and Problem Complexity
Подзаголовок: 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Using GP Is NEAT: Evolving Compositional Pattern Production Functions.- Evolving the Topology of Large Scale Deep Neural Networks.- Evolving Graphs by Graph Programming.- Pruning Techniques for Mixed Ensembles of Genetic Programming Models.- Analyzing Feature Importance for Metabolomics Using Genetic Programming.- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming.- On the Automatic Design of a Representation for Grammar-Based Genetic Programming.- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks.- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom.- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States.- A Multiple Expression Alignment Framework for Genetic Programming.- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions.- A Comparative Study on Crossover in Cartesian Genetic Programming.- Evolving Better RNAfold Structure Prediction.- Geometric Crossover in Syntactic Space.- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming.- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web.- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.




Behavioral Program Synthesis with Genetic Programming

Автор: Krzysztof Krawiec
Название: Behavioral Program Synthesis with Genetic Programming
ISBN: 3319275631 ISBN-13(EAN): 9783319275635
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This `evaluation bottleneck` leaves search algorithm underinformed about the actual and potential qualities of candidate programs. This book proposes behavioral program synthesis, a conceptual framework that opens GP to detailed information on program behavior in order to make program synthesis more efficient.

Genetic Programming

Автор: Malcolm I. Heywood; James McDermott; Mauro Castell
Название: Genetic Programming
ISBN: 3319306677 ISBN-13(EAN): 9783319306674
Издательство: Springer
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Цена: 7826.00 р.
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Описание: In this collection of seventy-six collages, strange things happen. Rocks fall out of the sky, and people also. Enormous knives threaten unprotected flesh, and mouths stretch to the point of pain. But then these scenes of horror are punctuated by moments of surreal humor. Taken together, Mito`s work makes us see the strange in the familiar and recognize the familiar in what looks strange.

Genetic Programming Theory and Practice

Автор: Rick Riolo; Bill Worzel
Название: Genetic Programming Theory and Practice
ISBN: 1461347475 ISBN-13(EAN): 9781461347477
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP).

Genetic algorithms and genetic programming

Автор: Affenzeller, Michael (upper Austria University Of Applied Sciences, Hagenberg, And Johannes Kepler University Of Linz, Austria) Wagner, Stefan (upper
Название: Genetic algorithms and genetic programming
ISBN: 1138114278 ISBN-13(EAN): 9781138114272
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.

The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems.

Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.

Genetic Programming Theory and Practice XI

Автор: Riolo Rick
Название: Genetic Programming Theory and Practice XI
ISBN: 1493903748 ISBN-13(EAN): 9781493903740
Издательство: Springer
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Цена: 13275.00 р.
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Описание: 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.

Genetic Programming

Автор: James McDermott; Mauro Castelli; Lukas Sekanina; E
Название: Genetic Programming
ISBN: 3319556959 ISBN-13(EAN): 9783319556956
Издательство: Springer
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Цена: 9083.00 р.
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Описание: The most recent member-state of the European Union, Croatia, has been shaped by a culture of war commemoration since the Homeland War of the 1990s that secured independence. These commemorative practices, including museums, memoirs and satirical cartoons, are the subject of study in this book, offering insights into Croatia`s place in Europe today.

Cartesian Genetic Programming

Автор: Julian F. Miller
Название: Cartesian Genetic Programming
ISBN: 3642269982 ISBN-13(EAN): 9783642269981
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. This book contains chapters written by the leading figures in the development and application of CGP.

Genetic Programming Theory and Practice XII

Автор: Rick Riolo; William P. Worzel; Mark Kotanchek
Название: Genetic Programming Theory and Practice XII
ISBN: 331916029X ISBN-13(EAN): 9783319160290
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 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.

Genetic Programming Theory and Practice X

Автор: Rick Riolo; Ekaterina Vladislavleva; Marylyn D Rit
Название: Genetic Programming Theory and Practice X
ISBN: 1493900684 ISBN-13(EAN): 9781493900688
Издательство: Springer
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Цена: 13275.00 р.
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Описание: 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.

Handbook of Genetic Programming Applications

Автор: Amir H. Gandomi; Amir H. Alavi; Conor Ryan
Название: Handbook of Genetic Programming Applications
ISBN: 3319208829 ISBN-13(EAN): 9783319208824
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few.

Genetic Programming

Автор: James A. Foster; Evelyne Lutton; Julian F. Miller;
Название: Genetic Programming
ISBN: 3540433783 ISBN-13(EAN): 9783540433781
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 5th European Conference on Genetic Programming held in Ireland in 2002. The 18 full papers and 14 posters address aspects of genetic programming and genetic algorithms, ranging from theoretical and foundational issues to applications in many fields.

Foundations of Genetic Programming

Автор: William B. Langdon; Riccardo Poli
Название: Foundations of Genetic Programming
ISBN: 3642076327 ISBN-13(EAN): 9783642076329
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more than ten years ago, GP has been used to solve practical problems in a variety of application fields. Along with this ad-hoc engineering approaches interest increased in how and why GP works. This book provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.


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