Solving Combinatorial Optimization Problems In Parallel

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Solving Combinatorial Optimization Problems in Parallel Methods and Techniques

Author : Alfonso Ferreira
Publisher : Springer
ISBN 13 : 9783540610434
Total Pages : 280 pages
Book Rating : 4.6/5 (14 download)

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Book Synopsis Solving Combinatorial Optimization Problems in Parallel Methods and Techniques by : Alfonso Ferreira

Download or read book Solving Combinatorial Optimization Problems in Parallel Methods and Techniques written by Alfonso Ferreira and published by Springer. This book was released on 1996-03-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alfonso Ferreira
Publisher :
ISBN 13 : 9783662202500
Total Pages : 292 pages
Book Rating : 4.2/5 (25 download)

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Book Synopsis Solving Combinatorial Optimization Problems in Parallel Methods and Techniques by : Alfonso Ferreira

Download or read book Solving Combinatorial Optimization Problems in Parallel Methods and Techniques written by Alfonso Ferreira and published by . This book was released on 2014-01-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Solving Hard Combinatorial Optimization Problems in Parallel

Author : Adrian Brüngger
Publisher :
ISBN 13 : 9783896492999
Total Pages : 136 pages
Book Rating : 4.4/5 (929 download)

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Book Synopsis Solving Hard Combinatorial Optimization Problems in Parallel by : Adrian Brüngger

Download or read book Solving Hard Combinatorial Optimization Problems in Parallel written by Adrian Brüngger and published by . This book was released on 1998 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Processing of Discrete Optimization Problems

Author : Panos M. Pardalos
Publisher : American Mathematical Soc.
ISBN 13 : 0821802402
Total Pages : 390 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Parallel Processing of Discrete Optimization Problems by : Panos M. Pardalos

Download or read book Parallel Processing of Discrete Optimization Problems written by Panos M. Pardalos and published by American Mathematical Soc.. This book was released on 1995 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scheduling in Parallel Computing Systems

Author : Shaharuddin Salleh
Publisher : Springer Science & Business Media
ISBN 13 : 1461550653
Total Pages : 177 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Scheduling in Parallel Computing Systems by : Shaharuddin Salleh

Download or read book Scheduling in Parallel Computing Systems written by Shaharuddin Salleh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques advocates the viability of using fuzzy and annealing methods in solving scheduling problems for parallel computing systems. The book proposes new techniques for both static and dynamic scheduling, using emerging paradigms that are inspired by natural phenomena such as fuzzy logic, mean-field annealing, and simulated annealing. Systems that are designed using such techniques are often referred to in the literature as `intelligent' because of their capability to adapt to sudden changes in their environments. Moreover, most of these changes cannot be anticipated in advance or included in the original design of the system. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques provides results that prove such approaches can become viable alternatives to orthodox solutions to the scheduling problem, which are mostly based on heuristics. Although heuristics are robust and reliable when solving certain instances of the scheduling problem, they do not perform well when one needs to obtain solutions to general forms of the scheduling problem. On the other hand, techniques inspired by natural phenomena have been successfully applied for solving a wide range of combinatorial optimization problems (e.g. traveling salesman, graph partitioning). The success of these methods motivated their use in this book to solve scheduling problems that are known to be formidable combinatorial problems. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques is an excellent reference and may be used for advanced courses on the topic.

Parallel Processing of Discrete Problems

Author : Panos M. Pardalos
Publisher : Springer
ISBN 13 : 9781461214939
Total Pages : 243 pages
Book Rating : 4.2/5 (149 download)

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Book Synopsis Parallel Processing of Discrete Problems by : Panos M. Pardalos

Download or read book Parallel Processing of Discrete Problems written by Panos M. Pardalos and published by Springer. This book was released on 2011-09-26 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Problems

Author : Panos M. Pardalos
Publisher : Springer Science & Business Media
ISBN 13 : 9780387986647
Total Pages : 260 pages
Book Rating : 4.9/5 (866 download)

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Book Synopsis Parallel Processing of Discrete Problems by : Panos M. Pardalos

Download or read book Parallel Processing of Discrete Problems written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 1999 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Combinatorial Optimization

Author : El-Ghazali Talbi
Publisher : John Wiley & Sons
ISBN 13 : 0470053917
Total Pages : 348 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Parallel Combinatorial Optimization by : El-Ghazali Talbi

Download or read book Parallel Combinatorial Optimization written by El-Ghazali Talbi and published by John Wiley & Sons. This book was released on 2006-10-27 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Parallel Implementation of Boltzmann Machine for Solving Combinatorial Optimization Problems on a Network of Transputers

Author : Jongho Nang
Publisher :
ISBN 13 :
Total Pages : 11 pages
Book Rating : 4.:/5 (66 download)

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Book Synopsis A Parallel Implementation of Boltzmann Machine for Solving Combinatorial Optimization Problems on a Network of Transputers by : Jongho Nang

Download or read book A Parallel Implementation of Boltzmann Machine for Solving Combinatorial Optimization Problems on a Network of Transputers written by Jongho Nang and published by . This book was released on 1992 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel and Distributed Processing

Author : Jose Rolim
Publisher : Springer
ISBN 13 : 9783540643593
Total Pages : 1172 pages
Book Rating : 4.6/5 (435 download)

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Book Synopsis Parallel and Distributed Processing by : Jose Rolim

Download or read book Parallel and Distributed Processing written by Jose Rolim and published by Springer. This book was released on 1998-03-18 with total page 1172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of 10 international workshops held in conjunction with the merged 1998 IPPS/SPDP symposia, held in Orlando, Florida, US in March/April 1998. The volume comprises 118 revised full papers presenting cutting-edge research or work in progress. In accordance with the workshops covered, the papers are organized in topical sections on reconfigurable architectures, run-time systems for parallel programming, biologically inspired solutions to parallel processing problems, randomized parallel computing, solving combinatorial optimization problems in parallel, PC based networks of workstations, fault-tolerant parallel and distributed systems, formal methods for parallel programming, embedded HPC systems and applications, and parallel and distributed real-time systems.

Advances in Optimization and Parallel Computing

Author : Panos M. Pardalos
Publisher : North Holland
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advances in Optimization and Parallel Computing by : Panos M. Pardalos

Download or read book Advances in Optimization and Parallel Computing written by Panos M. Pardalos and published by North Holland. This book was released on 1992 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Combinatorial Optimization

Author : Michael Jünger
Publisher : Springer
ISBN 13 : 3540455868
Total Pages : 310 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computational Combinatorial Optimization by : Michael Jünger

Download or read book Computational Combinatorial Optimization written by Michael Jünger and published by Springer. This book was released on 2003-06-30 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality.

Handbook of Combinatorial Optimization

Author : Ding-Zhu Du
Publisher : Springer Science & Business Media
ISBN 13 : 1461303036
Total Pages : 2410 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Handbook of Combinatorial Optimization by : Ding-Zhu Du

Download or read book Handbook of Combinatorial Optimization written by Ding-Zhu Du and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 2410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics).

Advances in Randomized Parallel Computing

Author : Panos M. Pardalos
Publisher : Springer Science & Business Media
ISBN 13 : 1461332826
Total Pages : 307 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Advances in Randomized Parallel Computing by : Panos M. Pardalos

Download or read book Advances in Randomized Parallel Computing written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimization Techniques for Solving Complex Problems

Author : Enrique Alba
Publisher : John Wiley & Sons
ISBN 13 : 0470293322
Total Pages : 500 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Optimization Techniques for Solving Complex Problems by : Enrique Alba

Download or read book Optimization Techniques for Solving Complex Problems written by Enrique Alba and published by John Wiley & Sons. This book was released on 2009-03-23 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

Handbook of combinatorial optimization

Author : Dingzhu Du
Publisher : Springer Science & Business Media
ISBN 13 : 9780792352853
Total Pages : 880 pages
Book Rating : 4.3/5 (528 download)

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Book Synopsis Handbook of combinatorial optimization by : Dingzhu Du

Download or read book Handbook of combinatorial optimization written by Dingzhu Du and published by Springer Science & Business Media. This book was released on 1998-12-15 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics)."

Parallel Metaheuristics

Author : Enrique Alba
Publisher : John Wiley & Sons
ISBN 13 : 0471739375
Total Pages : 574 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Parallel Metaheuristics by : Enrique Alba

Download or read book Parallel Metaheuristics written by Enrique Alba and published by John Wiley & Sons. This book was released on 2005-10-03 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.