How to Solve It: Modern Heuristics - 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 How to Solve It: Modern Heuristics write by Zbigniew Michalewicz. This book was released on 2013-03-14. How to Solve It: Modern Heuristics available in PDF, EPUB and Kindle. 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
Design of Modern Heuristics - 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 Design of Modern Heuristics write by Franz Rothlauf. This book was released on 2011-07-17. Design of Modern Heuristics available in PDF, EPUB and Kindle. 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
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.
121 Heuristics for Solving Problems
121 Heuristics for Solving 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 121 Heuristics for Solving Problems write by Marco Aurelio de Carvalho. This book was released on 2004-11-01. 121 Heuristics for Solving Problems available in PDF, EPUB and Kindle. Creative solutions are easily recognizable, after they have been created. But how to attain them? This book is about a promising approach to creative problem solving - the use of heuristics. The main purpose of an heuristic is to make problem solving more efficient, by making past experience - which could guide the generation of new solutions - promptly available. The heuristic approach is widely used in TRIZ (the Theory of Inventive Problem Solving), which is becoming increasingly popular worldwide. Successful results of using heuristics have been reported by companies such as ABB, Bosch, General Motors, Ford, Mitsubishi, Philips, Siemens, among others. With this book, the reader will be able to: - Understand the 121 Heuristics for problem solving, both from their descriptions and from selected examples; - Find the more promising Heuristic(s) for the solution of his/her problems; - Apply the heuristics and find creative solutions to his/her problems.
Modern Heuristic Techniques for Combinatorial Problems
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.
