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Author: Javier Del Ser Lorente
Publisher: BoD – Books on Demand
ISBN: 9535133837
Category : Computers
Languages : en
Pages : 137
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Book Description
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: Javier Del Ser Lorente
Publisher: BoD – Books on Demand
ISBN: 9535133837
Category : Computers
Languages : en
Pages : 137
Get Book Here
Book Description
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:
Publisher:
ISBN: 9789535133841
Category :
Languages : en
Pages :
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Book Description
Author: Nelishia Pillay
Publisher: Springer
ISBN: 331996514X
Category : Computers
Languages : en
Pages : 134
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Book Description
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:
ISBN: 9789535146773
Category :
Languages : en
Pages : 0
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Book Description
Author: Lv, Zhihan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 332
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Book Description
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during system mutations. The inadequate self-adaptation of AI systems poses significant challenges in terms of cost-effectiveness and operational stability. Principles and Applications of Adaptive Artificial Intelligence, edited by Zhihan Lv from Uppsala University, Sweden, offers a comprehensive solution to the self-adaptation problem in AI systems. It explores the latest concepts, technologies, and applications of Adaptive AI, equipping academic scholars and professionals with the necessary knowledge to overcome the challenges faced by traditional business logic transformed into model services. With its problem-solving approach, real-world case studies, and thorough analysis, the Handbook provides practitioners with practical ideas and solutions, while also serving as a valuable teaching material and reference guide for students and educators in AI-related disciplines. By emphasizing self-adaptation, continuous model iteration, and dynamic learning based on real-time feedback, the book empowers readers to significantly enhance the cost-effectiveness and operational stability of AI systems, making it an indispensable resource for researchers, professionals, and students seeking to revolutionize their research and applications in the field of Adaptive AI.
Author: Ibrahim H. Osman
Publisher: Springer Science & Business Media
ISBN: 1461313619
Category : Business & Economics
Languages : en
Pages : 676
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Book Description
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: Franz Rothlauf
Publisher: Springer Science & Business Media
ISBN: 3540729623
Category : Computers
Languages : en
Pages : 268
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Book Description
Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.
Author: Lionel Amodeo
Publisher: Springer
ISBN: 3319582534
Category : Business & Economics
Languages : en
Pages : 496
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Book Description
This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
Author: Changhe Li
Publisher: Springer Nature
ISBN: 9819732867
Category :
Languages : en
Pages : 369
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Book Description
Author: Gerd Gigerenzer
Publisher: MIT Press
ISBN: 0262072750
Category : Law
Languages : en
Pages : 502
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Book Description
Experts in law, psychology, and economics explore the power of "fast and frugal" heuristics in the creation and implementation of law In recent decades, the economists' concept of rational choice has dominated legal reasoning. And yet, in practical terms, neither the lawbreakers the law addresses nor officers of the law behave as the hyperrational beings postulated by rational choice. Critics of rational choice and believers in "fast and frugal heuristics" propose another approach: using certain formulations or general principles (heuristics) to help navigate in an environment that is not a well-ordered setting with an occasional disturbance, as described in the language of rational choice, but instead is fundamentally uncertain or characterized by an unmanageable degree of complexity. This is the intuition behind behavioral law and economics. In Heuristics and the Law, experts in law, psychology, and economics explore the conceptual and practical power of the heuristics approach in law. They discuss legal theory; modeling and predicting the problems the law purports to solve; the process of making law, in the legislature or in the courtroom; the application of existing law in the courts, particularly regarding the law of evidence; and implementation of the law and the impact of law on behavior. Contributors Ronald J. Allen, Hal R. Arkes, Peter Ayton, Susanne Baer, Martin Beckenkamp, Robert Cooter, Leda Cosmides, Mandeep K. Dhami, Robert C. Ellickson, Christoph Engel, Richard A. Epstein, Wolfgang Fikentscher, Axel Flessner, Robert H. Frank, Bruno S. Frey, Gerd Gigerenzer, Paul W. Glimcher, Daniel G. Goldstein, Chris Guthrie, Jonathan Haidt, Reid Hastie, Ralph Hertwig, Eric J. Johnson, Jonathan J. Koehler, Russell Korobkin, Stephanie Kurzenhäuser, Douglas A. Kysar, Donald C. Langevoort, Richard Lempert, Stefan Magen, Callia Piperides, Jeffrey J. Rachlinski, Clara Sattler de Sousa e Brito, Joachim Schulz, Victoria A. Shaffer, Indra Spiecker genannt Döhmann, John Tooby, Gerhard Wagner, Elke U. Weber, Bernd Wittenbrink
