Matheuristics
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Author | : Vittorio Maniezzo |
Publisher | : Springer Nature |
Total Pages | : 222 |
Release | : 2021-04-29 |
Genre | : Business & Economics |
ISBN | : 3030702774 |
This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.
Author | : Vittorio Maniezzo |
Publisher | : Springer Science & Business Media |
Total Pages | : 283 |
Release | : 2009-09-18 |
Genre | : Business & Economics |
ISBN | : 1441913068 |
Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.
Author | : Marc Sevaux |
Publisher | : Springer Nature |
Total Pages | : 404 |
Release | : |
Genre | : |
ISBN | : 3031629124 |
Author | : Rafael Martí |
Publisher | : Springer |
Total Pages | : 3000 |
Release | : 2017-01-16 |
Genre | : Computers |
ISBN | : 9783319071237 |
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.
Author | : Christian Blum |
Publisher | : Springer Science & Business Media |
Total Pages | : 187 |
Release | : 2009-09-29 |
Genre | : Computers |
ISBN | : 3642049176 |
This book constitutes the refereed proceedings of the 6th International Workshop on Hybrid Metaheuristics, HM 2009, held in Udine, Italy, in October 2009. The 12 revised full papers presented together with one invited talk were carefully reviewed and selected from 22 submissions. The papers discuss current issues of combinations of metaheuristics and other solving techniques of universal concern such as novel combinations of components from different metaheuristics, hybridization of metaheuristics and AI/OR techniques, low-level hybridization, high-level hybridization, portfolio techniques, expert systems, cooperative search, automated parameter tuning, empirical and statistical comparison, theoretical aspects of hybridization, parallelization, and software libraries.
Author | : El-Ghazali Talbi |
Publisher | : Springer |
Total Pages | : 298 |
Release | : 2013-04-09 |
Genre | : Technology & Engineering |
ISBN | : 3642378382 |
This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains. Readers learn to solve large scale bi-level optimization problems by efficiently combining metaheuristics with complementary metaheuristics and mathematical programming approaches. Numerous real-world examples of problems demonstrate how metaheuristics are applied in such fields as networks, logistics and transportation, engineering design, finance and security.
Author | : Fouad Sabry |
Publisher | : One Billion Knowledgeable |
Total Pages | : 115 |
Release | : 2023-07-01 |
Genre | : Computers |
ISBN | : |
What Is Metaheuristic In the fields of computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic that may provide a sufficiently good solution to an optimization problem or a machine learning problem. This is especially useful in situations where there is incomplete or imperfect information or limited computation capacity. Metaheuristics take a small sample from a much larger pool of potential solutions, which would otherwise be impossible to completely enumerate or otherwise investigate. It's possible that metaheuristics will make relatively few assumptions about the optimization problem that has to be solved, and as a result, they might be applicable to a wide range of issues. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Metaheuristic Chapter 2: Swarm intelligence Chapter 3: Genetic algorithm Chapter 4: Simulated annealing Chapter 5: Hyper-heuristic Chapter 6: Genetic programming Chapter 7: Stochastic optimization Chapter 8: Meta-optimization Chapter 9: Workforce modeling Chapter 10: Matheuristics (II) Answering the public top questions about metaheuristic. (III) Real world examples for the usage of metaheuristic in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of metaheuristic' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of metaheuristic.
Author | : Teodor Gabriel Crainic |
Publisher | : Springer Nature |
Total Pages | : 668 |
Release | : 2021-07-16 |
Genre | : Business & Economics |
ISBN | : 3030640183 |
This book explores the methodological and application developments of network design in transportation and logistics. It identifies trends, challenges and research perspectives in network design for these areas. Network design is a major class of problems in operations research where network flow, combinatorial and mixed integer optimization meet. The analysis and planning of transportation and logistics systems continues to be one of the most important application areas of operations research. Networks provide the natural way of depicting such systems, so the optimal design and operation of networks is the main methodological area of operations research that is used for the analysis and planning of these systems. This book defines the current state of the art in the general area of network design, and then turns to its applications to transportation and logistics. New research challenges are addressed. Network Design with Applications to Transportation and Logistics is divided into three parts. Part I examines basic design problems including fixed-cost network design and parallel algorithms. After addressing the basics, Part II focuses on more advanced models. Chapters cover topics such as multi-facility network design, flow-constrained network design, and robust network design. Finally Part III is dedicated entirely to the potential application areas for network design. These areas range from rail networks, to city logistics, to energy transport. All of the chapters are written by leading researchers in the field, which should appeal to analysts and planners.
Author | : Flavio Manenti |
Publisher | : Elsevier |
Total Pages | : 3634 |
Release | : 2024-06-27 |
Genre | : Technology & Engineering |
ISBN | : 0443288259 |
The 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, contains the papers presented at the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. - Presents findings and discussions from the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event
Author | : Christian Blum |
Publisher | : Springer |
Total Pages | : 187 |
Release | : 2009-10-07 |
Genre | : Computers |
ISBN | : 3642049184 |
The International Workshop on Hybrid Metaheuristics was established with the aim of providing researchers and scholars with a forum for discussing new ideas and research on metaheuristics and their integration with techniques typical of other ?elds. The papers accepted for the sixth workshop con?rm that such a combination is indeed e?ective and that several research areas can be put together.Slowlybut surely,thisprocesshasbeen promotingproductivedialogue amongresearcherswithdi?erentexpertiseanderodingbarriersbetweenresearch areas. The papers in this volume give a representativesample of current researchin hybrid metaheuristics. It is worth emphasizing that this year, a large number of papers demonstrated how metaheuristics can be integrated with integer linear programmingandotheroperationsresearchtechniques.Constraintprogramming is also featured, which is a notable representative of arti?cial intelligence solving methods. Most of these papers are not only a proof of concept – which can be valuable by itself – but also show that the hybrid techniques presented tackle di?cult and relevant problems. In keeping with the tradition of this workshop, special care was exercised in the review process: out of 22 submissions received, 12 papers were selected on the basis of reviews by the Program Committee members and evaluations by the Program Chairs. Reviews were in great depth: reviewers sought to p- vide authors with constructive suggestions for improvement. Special thanks are extended to the Program Committee members who devoted their time and - fort. Special gratitude is due to Andrea Lodi and Vittorio Maniezzo, who both accepted our invitation to give an overview talk.