Hyper-Heuristics: Theory and Applications, Nelishia Pillay; Rong Qu
Автор: Nelishia Pillay; Rong Qu Название: Hyper-Heuristics: Theory and Applications ISBN: 3030072061 ISBN-13(EAN): 9783030072063 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners.
Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.
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: 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: 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.
Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca Название: Meta-Heuristics ISBN: 0792383699 ISBN-13(EAN): 9780792383697 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume comprises a selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The articles describe recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies.
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: 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: Поставка под заказ.
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.
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: 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: Ibrahim H. Osman; James P. Kelly Название: Meta-Heuristics ISBN: 0792397002 ISBN-13(EAN): 9780792397007 Издательство: Springer Рейтинг: Цена: 51570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is drawn from the first conference on meta-heuristics and contains papers on heuristic theory and applications. It includes: genetic algorithms, simulated annealing, tabu search, networks and graphs, scheduling and control, and TSP.
Автор: Ioannis E. Anagnostopoulos; M?ria Bielikov?; Phivo Название: Semantic Hyper/Multimedia Adaptation ISBN: 3642441556 ISBN-13(EAN): 9783642441554 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an in-depth investigation on research and deployment issues regarding current schemes and applications in Semantic Hyper/Multimedia and Social Media Adaptation, as well as review articles allowing readers to catch up on recent trends.
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