Heuristics for Optimization and Learning, Yalaoui Farouk, Amodeo Lionel, Talbi El-Ghazali
Автор: Gigerenzer, Gerd (director, Center For Adaptive Be Название: Simple heuristics that make us smart ISBN: 0195143817 ISBN-13(EAN): 9780195143812 Издательство: Oxford Academ Рейтинг: Цена: 8712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work provides a psychologically plausible notion of rationality that is based on heuristics -- simple rules for making decisions using realistic mental resources. It looks at when and how such simple heuristics work, compares decisions based on single and multiple reasons, and describes benefits in situations of having only limited knowledge.
Автор: Nocedal, Jorge. Название: Numerical Optimization ISBN: 0387303030 ISBN-13(EAN): 9780387303031 Издательство: Springer Рейтинг: Цена: 10662.00 р. Наличие на складе: Ожидается поступление.
Описание: Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.
Описание: This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.
Автор: Jos?-Luis Verdegay Название: Fuzzy Sets Based Heuristics for Optimization ISBN: 3642056113 ISBN-13(EAN): 9783642056116 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.
Автор: Talbi Название: Bioinspired Heuristics for Optimization ISBN: 3319951033 ISBN-13(EAN): 9783319951034 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software.
Описание: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance, and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.
Автор: El-Ghazali Talbi; Amir Nakib Название: Bioinspired Heuristics for Optimization ISBN: 3030069788 ISBN-13(EAN): 9783030069780 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.
Автор: Yalaoui Farouk, Amodeo Lionel, Talbi El-Ghazali Название: Heuristics for Optimization and Learning ISBN: 3030589293 ISBN-13(EAN): 9783030589295 Издательство: Springer Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a new contribution aiming to give some last research findings in the field of optimization and computing. The challenge with this work is to gather the main contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider spread applications.
Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.
Автор: Ibrahim H. Osman; James P. Kelly Название: Meta-Heuristics ISBN: 1461285879 ISBN-13(EAN): 9781461285878 Издательство: Springer Рейтинг: Цена: 51570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.
Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca Название: Meta-Heuristics ISBN: 1461376467 ISBN-13(EAN): 9781461376460 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97).
Автор: Rafael Mart?; Panos M. Pardalos; Mauricio G. C. Re Название: Handbook of Heuristics ISBN: 3319071246 ISBN-13(EAN): 9783319071244 Издательство: Springer Рейтинг: Цена: 125778.00 р. Наличие на складе: Нет в наличии.
Описание: Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.
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