How To Solve It Modern Heuristics


How To Solve It Modern Heuristics
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How To Solve It Modern Heuristics


How To Solve It Modern Heuristics
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Author : Zbigniew Michalewicz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

How To Solve It Modern Heuristics written by Zbigniew Michalewicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.


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
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Author : Franz Rothlauf
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-17

Design Of Modern Heuristics written by Franz Rothlauf and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-17 with Computers categories.


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.



Computational Intelligence And Modern Heuristics


Computational Intelligence And Modern Heuristics
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Author : Brygida Cullen
language : en
Publisher:
Release Date : 2016-04

Computational Intelligence And Modern Heuristics written by Brygida Cullen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04 with Artificial intelligence categories.


A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut. A heuristic function, also called simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. The objective of a heuristic is to produce a solution in a reasonable time frame that is good enough for solving the problem at hand. This solution may not be the best of all the actual solutions to this problem, or it may simply approximate the exact solution. But it is still valuable because finding it does not require a prohibitively long time. Heuristics may produce results by themselves, or they may be used in conjunction with optimization algorithms to improve their efficiency. Results about NP-hardness in theoretical computer science make heuristics the only viable option for a variety of complex optimization problems that need to be routinely solved in real-world applications. This book entitled Computational Intelligence and Modern Heuristics highlights on computational models using heuristic and meta-heuristic approaches.



Modern Heuristic Techniques For Combinatorial Problems


Modern Heuristic Techniques For Combinatorial Problems
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Author : C. R. Reeves
language : en
Publisher: John Wiley & Sons
Release Date : 1993-05-11

Modern Heuristic Techniques For Combinatorial Problems written by C. R. Reeves and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-05-11 with Mathematics categories.


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 Heuristics For Combinatorial Optimization Problems


Modern Heuristics For Combinatorial Optimization Problems
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Author : Chin-Shien Lin
language : en
Publisher:
Release Date : 1995

Modern Heuristics For Combinatorial Optimization Problems written by Chin-Shien Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Combinatorial optimization categories.




Modern Heuristic Optimization Techniques


Modern Heuristic Optimization Techniques
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Author : Kwang Y. Lee
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-28

Modern Heuristic Optimization Techniques written by Kwang Y. Lee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-28 with Technology & Engineering categories.


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


Modern Heuristic Search Methods
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Author : V. J. Rayward-Smith
language : en
Publisher: John Wiley & Sons
Release Date : 1996-12-23

Modern Heuristic Search Methods written by V. J. Rayward-Smith and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12-23 with Computers categories.


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.



121 Heuristics For Solving Problems


121 Heuristics For Solving Problems
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Author : Marco Aurelio de Carvalho
language : en
Publisher: Lulu.com
Release Date : 2004-11-01

121 Heuristics For Solving Problems written by Marco Aurelio de Carvalho and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-01 with Technology & Engineering categories.


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.



How To Solve It


How To Solve It
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Author : G. Polya
language : en
Publisher: Princeton University Press
Release Date : 2014-10-26

How To Solve It written by G. Polya and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-26 with Mathematics categories.


The bestselling book that has helped millions of readers solve any problem A must-have guide by eminent mathematician G. Polya, How to Solve It shows anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can help you attack any problem that can be reasoned out—from building a bridge to winning a game of anagrams. How to Solve It includes a heuristic dictionary with dozens of entries on how to make problems more manageable—from analogy and induction to the heuristic method of starting with a goal and working backward to something you already know. This disarmingly elementary book explains how to harness curiosity in the classroom, bring the inventive faculties of students into play, and experience the triumph of discovery. But it’s not just for the classroom. Generations of readers from all walks of life have relished Polya’s brilliantly deft instructions on stripping away irrelevancies and going straight to the heart of a problem.



Methods Of Heuristics


Methods Of Heuristics
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Author : R. Groner
language : en
Publisher: Routledge
Release Date : 2014-07-10

Methods Of Heuristics written by R. Groner and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with Psychology categories.


First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.