Modern Heuristic Techniques for Combinatorial Problems

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Author :
Release : 1993-05-11
Genre : Mathematics
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Book Rating : /5 ( reviews)

Modern Heuristic Techniques for Combinatorial 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 Modern Heuristic Techniques for Combinatorial Problems write by C. R. Reeves. This book was released on 1993-05-11. Modern Heuristic Techniques for Combinatorial Problems available 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.

Modern Heuristic Techniques for Combinatorial Problems

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Author :
Release : 1995
Genre : Artificial intelligence
Kind :
Book Rating : 399/5 ( reviews)

Modern Heuristic Techniques for Combinatorial 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 Modern Heuristic Techniques for Combinatorial Problems write by Colin R. Reeves. This book was released on 1995. Modern Heuristic Techniques for Combinatorial Problems available 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.

Modern Heuristic Techniques for Combinatorial Problems

Download Modern Heuristic Techniques for Combinatorial Problems PDF Online Free

Author :
Release : 1993
Genre : Combinatorial optimization
Kind :
Book Rating : 389/5 ( reviews)

Modern Heuristic Techniques for Combinatorial 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 Modern Heuristic Techniques for Combinatorial Problems write by Colin R. Reeves. This book was released on 1993. Modern Heuristic Techniques for Combinatorial Problems available 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.

Modern Heuristic Optimization Techniques

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Release : 2008-01-28
Genre : Technology & Engineering
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Book Rating : 858/5 ( reviews)

Modern Heuristic Optimization 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 Modern Heuristic Optimization Techniques write by Kwang Y. Lee. This book was released on 2008-01-28. Modern Heuristic Optimization Techniques available 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.

Modern Heuristic Search Methods

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Release : 1996-12-23
Genre : Computers
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Modern Heuristic Search Methods - 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 Modern Heuristic Search Methods write by V. J. Rayward-Smith. This book was released on 1996-12-23. Modern Heuristic Search Methods available 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.