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Parallel Problem Solving from Nature – PPSN XV, Anne Auger; Carlos M. Fonseca; Nuno Louren?o; Peno


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Автор: Anne Auger; Carlos M. Fonseca; Nuno Louren?o; Peno
Название:  Parallel Problem Solving from Nature – PPSN XV
ISBN: 9783319992525
Издательство: Springer
Классификация:



ISBN-10: 331999252X
Обложка/Формат: Soft cover
Страницы: 539
Вес: 0.87 кг.
Дата издания: 2018
Серия: Theoretical Computer Science and General Issues
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 178 illustrations, black and white; xxx, 539 p. 178 illus.
Размер: 234 x 156 x 30
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part I
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.



Parallel Problem Solving from Nature – PPSN XIV

Автор: Handl
Название: Parallel Problem Solving from Nature – PPSN XIV
ISBN: 3319458221 ISBN-13(EAN): 9783319458229
Издательство: Springer
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Цена: 16769.00 р.
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Описание: theory of parallel evolutionary algorithms; promoting diversity in evolutionary optimization: why and how; evolutionary multi-objective optimization; a bridge between optimization over manifolds and evolutionary computation; runtime analysis of evolutionary algorithms: basic introduction;

Algorithmic Problem Solving

Автор: Backhouse
Название: Algorithmic Problem Solving
ISBN: 0470684534 ISBN-13(EAN): 9780470684535
Издательство: Wiley
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Цена: 6962.00 р.
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Описание: * Novel approach to the mathematics of problem solving, in particular how to do logical calculations. * Many of the problems are well-known from (mathematical) puzzle books. * The solution method in the book is new and more relevant to the true nature of problem solving in the modern IT-dominated world.

Parallel Problem Solving from Nature – PPSN XV

Автор: Anne Auger; Carlos M. Fonseca; Nuno Louren?o; Peno
Название: Parallel Problem Solving from Nature – PPSN XV
ISBN: 3319992589 ISBN-13(EAN): 9783319992587
Издательство: Springer
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Цена: 10340.00 р.
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Описание: This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV.

Parallel Problem Solving from Nature

Автор: Hans-Paul Schwefel; Reinhard M?nner
Название: Parallel Problem Solving from Nature
ISBN: 3540541489 ISBN-13(EAN): 9783540541486
Издательство: Springer
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Цена: 7685.00 р.
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Описание: With the appearance of parallel computers, increased attention has been paid to algorithms which reply upon analogies to natural processes. This volume of workshop proceedings summarizes research on artificial problem-solving and discusses theoretical results.

Abductive Inference Models for Diagnostic Problem-Solving

Автор: Yun Peng; James A. Reggia
Название: Abductive Inference Models for Diagnostic Problem-Solving
ISBN: 0387973435 ISBN-13(EAN): 9780387973432
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This would seem to indicate that many of the essential aspects of diagnostic reasoning are a type of intuiti- based, common sense reasoning. More precisely, diagnostic reasoning can be classified as a type of inf- ence known as abductive reasoning or abduction.

Proceedings of the Third International Conference on Soft Computing for Problem Solving

Автор: Millie Pant; Kusum Deep; Atulya Nagar; Jagdish Cha
Название: Proceedings of the Third International Conference on Soft Computing for Problem Solving
ISBN: 8132217675 ISBN-13(EAN): 9788132217671
Издательство: Springer
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Цена: 39182.00 р.
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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Автор: Kedar Nath Das; Kusum Deep; Millie Pant; Jagdish C
Название: Proceedings of Fourth International Conference on Soft Computing for Problem Solving
ISBN: 8132222199 ISBN-13(EAN): 9788132222194
Издательство: Springer
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Цена: 32142.00 р.
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Описание: The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.

Simulation and Computational Red Teaming for Problem Solving

Автор: Hussein A Abbass, Jiangjun Tang, George Leu
Название: Simulation and Computational Red Teaming for Problem Solving
ISBN: 1119527171 ISBN-13(EAN): 9781119527176
Издательство: Wiley
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Цена: 19158.00 р.
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Описание:

An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems

Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics.

The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book:

- Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems

- Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations

- Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation

Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.

Systemic Text Generation as Problem Solving

Автор: Patten
Название: Systemic Text Generation as Problem Solving
ISBN: 052135076X ISBN-13(EAN): 9780521350761
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry Patten demonstrates that systemic grammar can be easily and automatically translated into current AI knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems.

Solving Irregularly Structured Problems in Parallel

Автор: Afonso Ferreira; Jose Rolim; Horst Simon; Shang-Hu
Название: Solving Irregularly Structured Problems in Parallel
ISBN: 3540648097 ISBN-13(EAN): 9783540648093
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th International Symposium on Solving Irregularly Structured Problems in Parallel, IRREGULAR`98, held in Berkeley, California, in August 1998.The 26 revised full papers presented were carefully reviewed and selected for inclusion from several dozen submissions.

Computer-Based Learning Environments and Problem Solving

Автор: Erik De Corte; Marcia C. Linn; Heinz Mandl; Lieven
Название: Computer-Based Learning Environments and Problem Solving
ISBN: 3642772307 ISBN-13(EAN): 9783642772306
Издательство: Springer
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Цена: 14673.00 р.
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Advanced Problem Solving Using Maple

Автор: Fox, William P , Bauldry, William
Название: Advanced Problem Solving Using Maple
ISBN: 113860187X ISBN-13(EAN): 9781138601871
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.


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