Parallel Problem Solving from Nature – PPSN XV, Anne Auger; Carlos M. Fonseca; Nuno Louren?o; Peno
Автор: Handl Название: Parallel Problem Solving from Nature – PPSN XIV ISBN: 3319458221 ISBN-13(EAN): 9783319458229 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
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 Рейтинг: Цена: 68930.00 T 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.
Автор: Hans-Paul Schwefel; Reinhard M?nner Название: Parallel Problem Solving from Nature ISBN: 3540541489 ISBN-13(EAN): 9783540541486 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Afonso Ferreira; Jose Rolim; Horst Simon; Shang-Hu Название: Solving Irregularly Structured Problems in Parallel ISBN: 3540648097 ISBN-13(EAN): 9783540648093 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Backhouse Название: Algorithmic Problem Solving ISBN: 0470684534 ISBN-13(EAN): 9780470684535 Издательство: Wiley Рейтинг: Цена: 46410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Yun Peng; James A. Reggia Название: Abductive Inference Models for Diagnostic Problem-Solving ISBN: 0387973435 ISBN-13(EAN): 9780387973432 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Fox, William P , Bauldry, William Название: Advanced Problem Solving Using Maple ISBN: 113860187X ISBN-13(EAN): 9781138601871 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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 Рейтинг: Цена: 127720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: William P. Fox, William Bauldry Название: Advanced Problem Solving with Maple: A First Course ISBN: 1138601853 ISBN-13(EAN): 9781138601857 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Patten Название: Systemic Text Generation as Problem Solving ISBN: 052135076X ISBN-13(EAN): 9780521350761 Издательство: Cambridge Academ Рейтинг: Цена: 116160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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