Hyper Heuristics Theory And Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Hyper Heuristics Theory And Applications PDF full book. Access full book title Hyper Heuristics Theory And Applications.
Author | : Nelishia Pillay |
Publisher | : Springer |
Total Pages | : 130 |
Release | : 2018-10-05 |
Genre | : Computers |
ISBN | : 331996514X |
Download Hyper-Heuristics: Theory and Applications Book in PDF, ePub and Kindle
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.
Author | : Javier Del Ser Lorente |
Publisher | : BoD – Books on Demand |
Total Pages | : 137 |
Release | : 2017-08-30 |
Genre | : Computers |
ISBN | : 9535133837 |
Download Heuristics and Hyper-Heuristics Book in PDF, ePub and Kindle
In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.
Author | : Ibrahim H. Osman |
Publisher | : Springer Science & Business Media |
Total Pages | : 676 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 1461313619 |
Download Meta-Heuristics Book in PDF, ePub and Kindle
Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. 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. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 19?? |
Genre | : |
ISBN | : 9789535133841 |
Download Heuristics and Hyper-Heuristics - Principles and Applications Book in PDF, ePub and Kindle
Author | : Fred W. Glover |
Publisher | : Springer Science & Business Media |
Total Pages | : 560 |
Release | : 2006-04-11 |
Genre | : Mathematics |
ISBN | : 0306480565 |
Download Handbook of Metaheuristics Book in PDF, ePub and Kindle
This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.
Author | : Javier Del Ser Lorente |
Publisher | : |
Total Pages | : 0 |
Release | : 2017 |
Genre | : |
ISBN | : 9789535146773 |
Download Heuristics and Hyper-Heuristics Book in PDF, ePub and Kindle
Author | : Patrick Siarry |
Publisher | : Nova Science Publishers |
Total Pages | : 0 |
Release | : 2013 |
Genre | : Algorithms |
ISBN | : 9781624176371 |
Download Heuristics Book in PDF, ePub and Kindle
Many advances have recently been made in metaheuristic methods, from theory to applications. The community of researchers claiming the relevance of their work to the field of metaheuristics is growing faster and faster, despite the fact that the term itself has not been precisely defined. This book discusses theoretical developments in metaheuristics, adaptation of discrete metaheuristics to continuous optimisation, performance comparisons of metaheuristics, co-operative methods combining different approaches, parallel and distributed metaheuristics for multi-objective optimisation, software implementations, and real-world applications.
Author | : Edmund K. Burke |
Publisher | : Springer Science & Business Media |
Total Pages | : 715 |
Release | : 2013-10-18 |
Genre | : Business & Economics |
ISBN | : 1461469406 |
Download Search Methodologies Book in PDF, ePub and Kindle
The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.” Fred Glover, Leeds School of Business, University of Colorado Boulder, USA “[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.” Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences
Author | : Michel Gendreau |
Publisher | : Springer |
Total Pages | : 611 |
Release | : 2018-09-20 |
Genre | : Business & Economics |
ISBN | : 3319910868 |
Download Handbook of Metaheuristics Book in PDF, ePub and Kindle
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.
Author | : Taymaz Akan |
Publisher | : Springer Nature |
Total Pages | : 209 |
Release | : 2022-12-04 |
Genre | : Technology & Engineering |
ISBN | : 3031168321 |
Download Engineering Applications of Modern Metaheuristics Book in PDF, ePub and Kindle
This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.