Parallel Combinatorial Optimization
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Parallel Combinatorial Optimization
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Author : El-Ghazali Talbi
language : en
Publisher: John Wiley & Sons
Release Date : 2006-10-27
Parallel Combinatorial Optimization written by El-Ghazali Talbi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-27 with Computers categories.
This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.
Solving Combinatorial Optimization Problems In Parallel Methods And Techniques
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Author : Alfonso Ferreira
language : en
Publisher: Springer
Release Date : 1996-03-27
Solving Combinatorial Optimization Problems In Parallel Methods And Techniques written by Alfonso Ferreira and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-27 with Computers categories.
Solving combinatorial optimization problems can often lead to runtime growing exponentially as a function of the input size. But important real-world problems, industrial applications, and academic research challenges, may demand exact optimal solutions. In such situations, parallel processing can reduce the runtime from days or months, typical when one workstation is used, to a few minutes or even seconds. Partners of the CEC-sponsored SCOOP Project (Solving Combinatorial Optimization Problems in Parallel) contributed, on invitation, to this book; much attention was paid to competent coverage of the topic and the style of writing. Readers will include students, scientists, engineers, and professionals interested in the design and implementation of parallel algorithms for solving combinatorial optimization problems.
Solving Combinatorial Optimization Problems In Parallel Methods And Techniques
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Author : Alfonso Ferreira
language : en
Publisher:
Release Date : 2014-01-15
Solving Combinatorial Optimization Problems In Parallel Methods And Techniques written by Alfonso Ferreira and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Parallel Processing Of Discrete Problems
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Author : Panos M. Pardalos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Processing Of Discrete Problems written by Panos M. Pardalos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
In the past two decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, availability of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization problems. The chapters in this volume cover a broad spectrum of recent research in parallel processing of discrete and related problems. The topics discussed include distributed branch-and-bound algorithms, parallel genetic algorithms for large scale discrete problems, simulated annealing, parallel branch-and-bound search under limited-memory constraints, parallelization of greedy randomized adaptive search procedures, parallel optical models of computing, randomized parallel algorithms, general techniques for the design of parallel discrete algorithms, parallel algorithms for the solution of quadratic assignment and satisfiability problems. The book will be a valuable source of information to faculty, students and researchers in combinatorial optimization and related areas.
Parallel Processing Of Discrete Optimization Problems
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Author : Panos M. Pardalos
language : en
Publisher: American Mathematical Soc.
Release Date : 1995-01-01
Parallel Processing Of Discrete Optimization Problems written by Panos M. Pardalos and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-01 with Mathematics categories.
This book contains papers presented at the Workshop on Parallel Processing of Discrete Optimization Problems held at DIMACS in April 1994. The contents cover a wide spectrum of the most recent algorithms and applications in parallel processing of discrete optimization and related problems. Topics include parallel branch and bound algorithms, scalability, load balancing, parallelism and irregular data structures and scheduling task graphs on parallel machines. Applications include parallel algorithms for solving satisfiability problems, location problems, linear programming, quadratic and linear assignment problems. This book would be suitable as a textbook in advanced courses on parallel algorithms and combinatorial optimization.
Solving Hard Combinatorial Optimization Problems In Parallel
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Author : Adrian Brüngger
language : en
Publisher:
Release Date : 1998
Solving Hard Combinatorial Optimization Problems In Parallel written by Adrian Brüngger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Advances In Randomized Parallel Computing
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Author : Panos M. Pardalos
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
Advances In Randomized Parallel Computing written by Panos M. Pardalos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Computers categories.
The technique of randomization has been employed to solve numerous prob lems of computing both sequentially and in parallel. Examples of randomized algorithms that are asymptotically better than their deterministic counterparts in solving various fundamental problems abound. Randomized algorithms have the advantages of simplicity and better performance both in theory and often in practice. This book is a collection of articles written by renowned experts in the area of randomized parallel computing. A brief introduction to randomized algorithms In the aflalysis of algorithms, at least three different measures of performance can be used: the best case, the worst case, and the average case. Often, the average case run time of an algorithm is much smaller than the worst case. 2 For instance, the worst case run time of Hoare's quicksort is O(n ), whereas its average case run time is only O( n log n). The average case analysis is conducted with an assumption on the input space. The assumption made to arrive at the O( n log n) average run time for quicksort is that each input permutation is equally likely. Clearly, any average case analysis is only as good as how valid the assumption made on the input space is. Randomized algorithms achieve superior performances without making any assumptions on the inputs by making coin flips within the algorithm. Any analysis done of randomized algorithms will be valid for all p0:.sible inputs.
Parallel Metaheuristics
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Author : Enrique Alba
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-03
Parallel Metaheuristics written by Enrique Alba and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-03 with Technology & Engineering categories.
Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings together an international group of experts in parallelism and metaheuristics to provide a much-needed synthesis of these two fields. Readers discover how metaheuristic techniques can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields of telecommunications and bioinformatics. This volume fills a long-existing gap, allowing researchers and practitioners to develop efficient metaheuristic algorithms to find solutions. The book is divided into three parts: * Part One: Introduction to Metaheuristics and Parallelism, including an Introduction to Metaheuristic Techniques, Measuring the Performance of Parallel Metaheuristics, New Technologies in Parallelism, and a head-to-head discussion on Metaheuristics and Parallelism * Part Two: Parallel Metaheuristic Models, including Parallel Genetic Algorithms, Parallel Genetic Programming, Parallel Evolution Strategies, Parallel Ant Colony Algorithms, Parallel Estimation of Distribution Algorithms, Parallel Scatter Search, Parallel Variable Neighborhood Search, Parallel Simulated Annealing, Parallel Tabu Search, Parallel GRASP, Parallel Hybrid Metaheuristics, Parallel Multi-Objective Optimization, and Parallel Heterogeneous Metaheuristics * Part Three: Theory and Applications, including Theory of Parallel Genetic Algorithms, Parallel Metaheuristics Applications, Parallel Metaheuristics in Telecommunications, and a final chapter on Bioinformatics and Parallel Metaheuristics Each self-contained chapter begins with clear overviews and introductions that bring the reader up to speed, describes basic techniques, and ends with a reference list for further study. Packed with numerous tables and figures to illustrate the complex theory and processes, this comprehensive volume also includes numerous practical real-world optimization problems and their solutions. This is essential reading for students and researchers in computer science, mathematics, and engineering who deal with parallelism, metaheuristics, and optimization in general.
Parallel Computing In Combinatorial Optimization
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Author : G. A. P. Kindervater
language : en
Publisher:
Release Date : 1986
Parallel Computing In Combinatorial Optimization written by G. A. P. Kindervater and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Combinatorial optimization categories.
Advances In Optimization And Parallel Computing
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Author : Panos M. Pardalos
language : en
Publisher: North Holland
Release Date : 1992
Advances In Optimization And Parallel Computing written by Panos M. Pardalos and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Business & Economics categories.
Optimization and parallel computing are areas of research characterized by an extremely rapid development during the last three decades. The main purpose of this volume is to show the reader a variety of optimization methods and related aspects of parallel computing techniques. The diversity of topics discussed in the book cover a broad spectrum of recent developments in these areas. This book, which grew out of many contributions given by distinguished researchers in honour of the 70th birthday of J.B. Rosen, one of the pioneers in optimization, is intended to serve as a guide for recent literature and as a stimulant to further research on optimization and parallel computing.