Modern Heuristic Techniques For Combinatorial Problems 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 Modern Heuristic Techniques For Combinatorial Problems PDF full book. Access full book title Modern Heuristic Techniques For Combinatorial Problems.
Author | : Colin R. Reeves |
Publisher | : |
Total Pages | : 0 |
Release | : 1995 |
Genre | : Artificial intelligence |
ISBN | : 9780077092399 |
Download Modern Heuristic Techniques for Combinatorial Problems Book in PDF, ePub and Kindle
Experienced researchers describe the latest types of heuristic procedures. Artificial networks, simulated annealing, Tabu search, Lagrangean relaxation, genetic algorithms and evaluation of heuristics are among the subjects discussed.
Author | : Colin R. Reeves |
Publisher | : |
Total Pages | : 320 |
Release | : 1993 |
Genre | : Combinatorial optimization |
ISBN | : 9780632032389 |
Download Modern Heuristic Techniques for Combinatorial Problems Book in PDF, ePub and Kindle
Over the last two decades, many ingenious techniques for solving large combinatorial problems have been developed. In this book, some of the more recent families of heuristic procedures are described. The book will be suitable for postgraduates and final year undergraduates in mathematics, computer science and operational research, as well as giving practical help to OR and other practitioners in the industry.
Author | : Kwang Y. Lee |
Publisher | : John Wiley & Sons |
Total Pages | : 616 |
Release | : 2008-01-28 |
Genre | : Technology & Engineering |
ISBN | : 0470225858 |
Download Modern Heuristic Optimization Techniques Book in PDF, ePub and Kindle
This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.
Author | : V. J. Rayward-Smith |
Publisher | : John Wiley & Sons |
Total Pages | : 320 |
Release | : 1996-12-23 |
Genre | : Computers |
ISBN | : |
Download Modern Heuristic Search Methods Book in PDF, ePub and Kindle
Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.
Author | : Emile H. L. Aarts |
Publisher | : Princeton University Press |
Total Pages | : 530 |
Release | : 2003-08-03 |
Genre | : Computers |
ISBN | : 9780691115221 |
Download Local Search in Combinatorial Optimization Book in PDF, ePub and Kindle
1. Introduction -- 2. Computational complexity -- 3. Local improvement on discrete structures -- 4. Simulated annealing -- 5. Tabu search -- 6. Genetic algorithms -- 7. Artificial neural networks -- 8. The traveling salesman problem: A case study -- 9. Vehicle routing: Modern heuristics -- 10. Vehicle routing: Handling edge exchanges -- 11. Machine scheduling -- 12. VLSI layout synthesis -- 13. Code design.
Author | : Rafael Martí |
Publisher | : Springer Science & Business Media |
Total Pages | : 181 |
Release | : 2011-01-03 |
Genre | : Computers |
ISBN | : 3642167292 |
Download The Linear Ordering Problem Book in PDF, ePub and Kindle
Faced with the challenge of solving the hard optimization problems that abound in the real world, existing methods often encounter great difficulties. Important applications in business, engineering or economics cannot be tackled by the techniques that have formed the predominant focus of academic research throughout the past three decades. Exact and heuristic approaches are dramatically changing our ability to solve problems of practical significance and are extending the frontier of problems that can be handled effectively. This monograph details state-of-the-art optimization methods, both exact and heuristic, for the LOP. The authors employ the LOP to illustrate contemporary optimization technologies as well as how to design successful implementations of exact and heuristic procedures. Therefore, they do not limit the scope of this book to the LOP, but on the contrary, provide the reader with the background and practical strategies in optimization to tackle different combinatorial problems.
Author | : Mehdi Toloo |
Publisher | : Academic Press |
Total Pages | : 316 |
Release | : 2022-02-09 |
Genre | : Science |
ISBN | : 0128238003 |
Download Multi-Objective Combinatorial Optimization Problems and Solution Methods Book in PDF, ePub and Kindle
Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice. Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms
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 | : Rainer E Burkard |
Publisher | : World Scientific |
Total Pages | : 373 |
Release | : 2002-04-05 |
Genre | : Mathematics |
ISBN | : 9814489654 |
Download Combinatorial And Global Optimization Book in PDF, ePub and Kindle
Combinatorial and global optimization problems appear in a wide range of applications in operations research, engineering, biological science, and computer science. In combinatorial optimization and graph theory, many approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. Recent major successes based on these approaches include interior point algorithms for linear and discrete problems, the celebrated Goemans-Williamson relaxation of the maximum cut problem, and the Du-Hwang solution of the Gilbert-Pollak conjecture. Since integer constraints are equivalent to nonconvex constraints, the fundamental difference between classes of optimization problems is not between discrete and continuous problems but between convex and nonconvex optimization problems. This volume is a selection of refereed papers based on talks presented at a conference on “Combinatorial and Global Optimization” held at Crete, Greece.
Author | : Donald L. Kreher |
Publisher | : CRC Press |
Total Pages | : 346 |
Release | : 2020-09-24 |
Genre | : Computers |
ISBN | : 1000141373 |
Download Combinatorial Algorithms Book in PDF, ePub and Kindle
This textbook thoroughly outlines combinatorial algorithms for generation, enumeration, and search. Topics include backtracking and heuristic search methods applied to various combinatorial structures, such as: Combinations Permutations Graphs Designs Many classical areas are covered as well as new research topics not included in most existing texts, such as: Group algorithms Graph isomorphism Hill-climbing Heuristic search algorithms This work serves as an exceptional textbook for a modern course in combinatorial algorithms, providing a unified and focused collection of recent topics of interest in the area. The authors, synthesizing material that can only be found scattered through many different sources, introduce the most important combinatorial algorithmic techniques - thus creating an accessible, comprehensive text that students of mathematics, electrical engineering, and computer science can understand without needing a prior course on combinatorics.