Solving Combinatorial Optimization Problems in Parallel Methods and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Solving Combinatorial Optimization Problems in Parallel Methods and Techniques write by Alfonso Ferreira. This book was released on 1996-03-27. Solving Combinatorial Optimization Problems in Parallel Methods and Techniques available in PDF, EPUB and Kindle. 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
Solving Combinatorial Optimization Problems in Parallel Methods and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Solving Combinatorial Optimization Problems in Parallel Methods and Techniques write by Alfonso Ferreira. This book was released on 2014-01-15. Solving Combinatorial Optimization Problems in Parallel Methods and Techniques available in PDF, EPUB and Kindle.
Solving Hard Combinatorial Optimization Problems in Parallel
Solving Hard Combinatorial Optimization Problems in Parallel - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Solving Hard Combinatorial Optimization Problems in Parallel write by Adrian Brüngger. This book was released on 1998. Solving Hard Combinatorial Optimization Problems in Parallel available in PDF, EPUB and Kindle.
Parallel Processing of Discrete Optimization Problems
Parallel Processing of Discrete Optimization Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parallel Processing of Discrete Optimization Problems write by Panos M. Pardalos. This book was released on 1995-01-01. Parallel Processing of Discrete Optimization Problems available in PDF, EPUB and Kindle. 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
Scheduling in Parallel Computing Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scheduling in Parallel Computing Systems write by Shaharuddin Salleh. This book was released on 2012-12-06. Scheduling in Parallel Computing Systems available in PDF, EPUB and Kindle. 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.
