Matheuristics PDF Download
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| Author | : Vittorio Maniezzo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 283 |
| Release | : 2009-09-18 |
| Genre | : Business & Economics |
| ISBN | : 1441913068 |
Download Matheuristics Book in PDF, ePub and Kindle
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 | : Vittorio Maniezzo |
| Publisher | : Springer Nature |
| Total Pages | : 222 |
| Release | : 2021-04-29 |
| Genre | : Business & Economics |
| ISBN | : 3030702774 |
Download Matheuristics Book in PDF, ePub and Kindle
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 | : Marc Sevaux |
| Publisher | : Springer Nature |
| Total Pages | : 404 |
| Release | : |
| Genre | : |
| ISBN | : 3031629124 |
Download Metaheuristics Book in PDF, ePub and Kindle
| Author | : Teodor Gabriel Crainic |
| Publisher | : Springer Nature |
| Total Pages | : 668 |
| Release | : 2021-07-16 |
| Genre | : Business & Economics |
| ISBN | : 3030640183 |
Download Network Design with Applications to Transportation and Logistics Book in PDF, ePub and Kindle
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 | : 2024-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 0443288259 |
Download 34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering Book in PDF, ePub and Kindle
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 | : Fouad Sabry |
| Publisher | : One Billion Knowledgeable |
| Total Pages | : 115 |
| Release | : 2023-07-01 |
| Genre | : Computers |
| ISBN | : |
Download Metaheuristic Book in PDF, ePub and Kindle
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 | : Christian Blum |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 187 |
| Release | : 2009-09-29 |
| Genre | : Computers |
| ISBN | : 3642049176 |
Download Hybrid Metaheuristics Book in PDF, ePub and Kindle
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 | : Bo Xing |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 469 |
| Release | : 2013-12-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3319034049 |
Download Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms Book in PDF, ePub and Kindle
The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.
| Author | : Panos Pardalos |
| Publisher | : Springer Nature |
| Total Pages | : 510 |
| Release | : 2021-06-14 |
| Genre | : Computers |
| ISBN | : 3030778762 |
Download Mathematical Optimization Theory and Operations Research Book in PDF, ePub and Kindle
This book constitutes the proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full invited papers are presented in the volume. The papers are grouped in the following topical sections: combinatorial optimization; mathematical programming; bilevel optimization; scheduling problems; game theory and optimal control; operational research and mathematical economics; data analysis.
| Author | : Josef Kallrath |
| Publisher | : Springer Nature |
| Total Pages | : 653 |
| Release | : 2021-08-31 |
| Genre | : Business & Economics |
| ISBN | : 3030732371 |
Download Business Optimization Using Mathematical Programming Book in PDF, ePub and Kindle
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
