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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: 9783319992587
Издательство: Springer
Классификация:




ISBN-10: 3319992589
Обложка/Формат: Soft cover
Страницы: 501
Вес: 0.80 кг.
Дата издания: 2018
Серия: Theoretical Computer Science and General Issues
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 95 illustrations, black and white; xxi, 501 p. 95 illus.
Размер: 234 x 156 x 27
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 15th International Conference, Coimbra, Portugal, September 8–12, 2018, Proceedings, Part II
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

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.

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.

Advanced Problem Solving with Maple: A First Course

Автор: William P. Fox, William Bauldry
Название: Advanced Problem Solving with Maple: A First Course
ISBN: 1138601853 ISBN-13(EAN): 9781138601857
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: The text presents modeling topics using Maple as the computer algebra system for solving mathematical equations as well as obtaining plots that help us perform our analyses. It presents cogent applications of applied mathematics, provides discussions of the results obtained, and stimulate thought and analysis of additional applications.

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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Research and Practice on the Theory of Inventive Problem Solving (TRIZ)

Автор: Chechurin
Название: Research and Practice on the Theory of Inventive Problem Solving (TRIZ)
ISBN: 3319317806 ISBN-13(EAN): 9783319317809
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book clarifies the common misconception that there are no systematic instruments to support ideation, heuristics and creativity. Using a collection of articles from professionals practicing the Theory of Inventive Problem Solving (TRIZ), this book presents an overview of current trends and enhancements within TRIZ in an international context, and shows its different roles in enhancing creativity for innovation in research and practice. Since its first introduction by Genrikh Saulovich Altshuller in 1956 in the USSR, the TRIZ method has been widely used by inventors, design engineers and has become a standard element of innovation support tools in many Fortune 500 companies. However, TRIZ has only recently entered the domain of scientific publications and discussion. This collection of articles is meant as a record of scientific discussion on TRIZ that reflects the most interesting talking points, research interests, results and expectations. Topics such as Creative and Inventive Design, Patent Mining, and Knowledge Harvesting are also covered in this book.

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;

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: 331999252X ISBN-13(EAN): 9783319992525
Издательство: Springer
Рейтинг:
Цена: 11459.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

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.

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.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Автор: Siddhivinayak Kulkarni
Название: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
ISBN: 1466618337 ISBN-13(EAN): 9781466618336
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Soft Computing for Problem Solving

Автор: Kedar Nath Das; Jagdish Chand Bansal; Kusum Deep;
Название: Soft Computing for Problem Solving
ISBN: 9811500347 ISBN-13(EAN): 9789811500343
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.


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