Soft Computing Based Optimization and Decision Models, David A. Pelta; Carlos Cruz Corona
Автор: David A. Pelta; Carlos Cruz Corona Название: Soft Computing Based Optimization and Decision Models ISBN: 3319642855 ISBN-13(EAN): 9783319642857 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a timely snapshot of current soft-computing research and solutions to decision-making and optimization problems, which are ubiquitous in the current social and technological context, addressing fields including logistics, transportation and data analysis.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Описание: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research.
Автор: Bruce L. Golden; S. Raghavan; Edward A. Wasil Название: The Next Wave in Computing, Optimization, and Decision Technologies ISBN: 1461498511 ISBN-13(EAN): 9781461498513 Издательство: Springer Рейтинг: Цена: 27951.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI.
Описание: This book represents the results of cross-fertilization between OR/MS and CS/AI. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high caliber of research being conducted by members of the INFORMS Computing Society.
Описание: This book represents the results of cross-fertilization between OR/MS and CS/AI. Taken collectively, these articles are indicative of the state-of-the-art in the interface between OR/MS and CS/AI and of the high caliber of research being conducted by members of the INFORMS Computing Society.
Автор: Silja Meyer-Nieberg; Nadiia Leopold; Tobias Uhlig Название: Natural Computing for Simulation-Based Optimization and Beyond ISBN: 3030262146 ISBN-13(EAN): 9783030262143 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Описание: This book not only discusses the important topics in the area of machine learning and combinatorial optimization, it also combines them into one. This was decisive for choosing the material to be included in the book and determining its order of presentation.Decision trees are a popular method of classification as well as of knowledge representation. At the same time, they are easy to implement as the building blocks of an ensemble of classifiers. Admittedly, however, the task of constructing a near-optimal decision tree is a very complex process.The good results typically achieved by the ant colony optimization algorithms when dealing with combinatorial optimization problems suggest the possibility of also using that approach for effectively constructing decision trees. The underlying rationale is that both problem classes can be presented as graphs. This fact leads to option of considering a larger spectrum of solutions than those based on the heuristic. Moreover, ant colony optimization algorithms can be used to advantage when building ensembles of classifiers.This book is a combination of a research monograph and a textbook. It can be used in graduate courses, but is also of interest to researchers, both specialists in machine learning and those applying machine learning methods to cope with problems from any field of R&D.
Автор: Raimondas Ciegis; David Henty; Bo K?gstr?m; Julius Название: Parallel Scientific Computing and Optimization ISBN: 0387097066 ISBN-13(EAN): 9780387097060 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces the developments in the construction, analysis, and implementation of parallel computing algorithms. This book includes construction and analysis of parallel algorithms for linear algebra and optimization problems. It covers different aspects of parallel architectures, including distributed memory computers with multicore processors.
Описание: It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems.
Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.
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