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How to Solve It: Modern Heuristics

2013-03-14 Computers
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Release : 2013-03-14
Genre : Computers
Kind : eBook
Book Rating : 316/5 ( reviews)

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Book Synopsis How to Solve It: Modern Heuristics by : Zbigniew Michalewicz

Download or read book How to Solve It: Modern Heuristics written by Zbigniew Michalewicz. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: This book is the only source that provides a systematic, integrated introduction to problem solving using modern heuristics, presenting the state-of-the-art in both numerical and analytic methods. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. Written in a lively, engaging style, readers will learn how to use some of the most powerful problem solving tools currently available.

Design of Modern Heuristics

2011-07-17 Computers
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Release : 2011-07-17
Genre : Computers
Kind : eBook
Book Rating : 623/5 ( reviews)

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Book Synopsis Design of Modern Heuristics by : Franz Rothlauf

Download or read book Design of Modern Heuristics written by Franz Rothlauf. This book was released on 2011-07-17. Available in PDF, EPUB and Kindle. Book excerpt: Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing, and others, but fail to teach the underlying concepts behind these different approaches. The author takes a different approach in this textbook by focusing on the users' needs and answering three fundamental questions: First, he tells us which problems modern heuristics are expected to perform well on, and which should be left to traditional optimization methods. Second, he teaches us to systematically design the "right" modern heuristic for a particular problem by providing a coherent view on design elements and working principles. Third, he shows how we can make use of problem-specific knowledge for the design of efficient and effective modern heuristics that solve not only small toy problems but also perform well on large real-world problems. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use. This book is written in an easy-to-read style and it is aimed at students and practitioners in computer science, operations research and information systems who want to understand modern heuristics and are interested in a guide to their systematic design and use.

Modern Heuristic Optimization Techniques

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

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Book Synopsis Modern Heuristic Optimization Techniques by : Kwang Y. Lee

Download or read book Modern Heuristic Optimization Techniques written by Kwang Y. Lee. This book was released on 2008-01-28. Available in PDF, EPUB and Kindle. Book excerpt: 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 Techniques for Combinatorial Problems

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

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Book Synopsis Modern Heuristic Techniques for Combinatorial Problems by : C. R. Reeves

Download or read book Modern Heuristic Techniques for Combinatorial Problems written by C. R. Reeves. This book was released on 1993-05-11. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

2012-09-30 Computers
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Release : 2012-09-30
Genre : Computers
Kind : eBook
Book Rating : 870/5 ( reviews)

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Book Synopsis Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance by : Vasant, Pandian M.

Download or read book Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance written by Vasant, Pandian M.. This book was released on 2012-09-30. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

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