How To Solve It Modern Heuristics

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How to Solve It: Modern Heuristics

Zbigniew Michalewicz,David B. Fogel
How to Solve It Modern Heuristics Book PDF

Author : Zbigniew Michalewicz,David B. Fogel
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 47,6 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662041314

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How to Solve It: Modern Heuristics by Zbigniew Michalewicz,David B. Fogel Pdf

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

Franz Rothlauf
Design of Modern Heuristics Book PDF

Author : Franz Rothlauf
Publisher : Springer
Page : 267 pages
File Size : 46,5 Mb
Release : 2011-07-17
Category : Computers
ISBN : 3540729615

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Design of Modern Heuristics by Franz Rothlauf Pdf

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.

Design of Modern Heuristics

Franz Rothlauf
Design of Modern Heuristics Book PDF

Author : Franz Rothlauf
Publisher : Springer Science & Business Media
Page : 267 pages
File Size : 41,7 Mb
Release : 2011-07-17
Category : Computers
ISBN : 9783540729624

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Design of Modern Heuristics by Franz Rothlauf Pdf

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

Kwang Y. Lee,Mohamed A. El-Sharkawi
Modern Heuristic Optimization Techniques Book PDF

Author : Kwang Y. Lee,Mohamed A. El-Sharkawi
Publisher : John Wiley & Sons
Page : 616 pages
File Size : 45,7 Mb
Release : 2008-01-28
Category : Technology & Engineering
ISBN : 9780470225851

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Modern Heuristic Optimization Techniques by Kwang Y. Lee,Mohamed A. El-Sharkawi Pdf

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

Marco Aurelio de Carvalho,Semyon D. Savransky,Tz-Chin Wei
121 Heuristics for Solving Problems Book PDF

Author : Marco Aurelio de Carvalho,Semyon D. Savransky,Tz-Chin Wei
Publisher : Lulu.com
Page : 348 pages
File Size : 46,6 Mb
Release : 2004-11-01
Category : Technology & Engineering
ISBN : 9781411616899

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121 Heuristics for Solving Problems by Marco Aurelio de Carvalho,Semyon D. Savransky,Tz-Chin Wei Pdf

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.

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Ghaith Rabadi
Heuristics Metaheuristics and Approximate Methods in Planning and Scheduling Book PDF

Author : Ghaith Rabadi
Publisher : Springer
Page : 264 pages
File Size : 51,5 Mb
Release : 2016-01-27
Category : Business & Economics
ISBN : 9783319260242

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Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling by Ghaith Rabadi Pdf

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Computational Intelligence and Modern Heuristics

Brygida Cullen
Computational Intelligence and Modern Heuristics Book PDF

Author : Brygida Cullen
Publisher : Unknown
Page : 0 pages
File Size : 45,9 Mb
Release : 2016-04
Category : Artificial intelligence
ISBN : 1681171996

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Computational Intelligence and Modern Heuristics by Brygida Cullen Pdf

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.

How to Solve it

George Pólya
How to Solve it Book PDF

Author : George Pólya
Publisher : Princeton University Press
Page : 288 pages
File Size : 54,7 Mb
Release : 2014
Category : Mathematics
ISBN : 9780691164076

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How to Solve it by George Pólya Pdf

"Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out--from building a bridge to winning a game of anagrams."--Back cover.

Modern Heuristic Techniques for Combinatorial Problems

C. R. Reeves
Modern Heuristic Techniques for Combinatorial Problems Book PDF

Author : C. R. Reeves
Publisher : John Wiley & Sons
Page : 344 pages
File Size : 53,7 Mb
Release : 1993-05-11
Category : Mathematics
ISBN : UOM:39015032447925

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Modern Heuristic Techniques for Combinatorial Problems by C. R. Reeves Pdf

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.

Data Mining: A Heuristic Approach

Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S.
Data Mining A Heuristic Approach Book PDF

Author : Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S.
Publisher : IGI Global
Page : 310 pages
File Size : 54,5 Mb
Release : 2001-07-01
Category : Computers
ISBN : 9781591400110

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Data Mining: A Heuristic Approach by Abbass, Hussein A.,Sarker, Ruhul,Newton, Charles S. Pdf

Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

Advances in Heuristic Signal Processing and Applications

Amitava Chatterjee,Hadi Nobahari,Patrick Siarry
Advances in Heuristic Signal Processing and Applications Book PDF

Author : Amitava Chatterjee,Hadi Nobahari,Patrick Siarry
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 54,5 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783642378805

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Advances in Heuristic Signal Processing and Applications by Amitava Chatterjee,Hadi Nobahari,Patrick Siarry Pdf

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems. In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking. The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.

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

Vasant, Pandian M.
Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance Book PDF

Author : Vasant, Pandian M.
Publisher : IGI Global
Page : 735 pages
File Size : 41,9 Mb
Release : 2012-09-30
Category : Computers
ISBN : 9781466620872

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

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.

The Human-Computer Interaction Handbook

Andrew Sears,Julie A. Jacko
The Human Computer Interaction Handbook Book PDF

Author : Andrew Sears,Julie A. Jacko
Publisher : CRC Press
Page : 1386 pages
File Size : 55,5 Mb
Release : 2007-09-19
Category : Technology & Engineering
ISBN : 9781410615862

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The Human-Computer Interaction Handbook by Andrew Sears,Julie A. Jacko Pdf

This second edition of The Human-Computer Interaction Handbook provides an updated, comprehensive overview of the most important research in the field, including insights that are directly applicable throughout the process of developing effective interactive information technologies. It features cutting-edge advances to the scientific

Simple Heuristics that Make Us Smart

Gerd Gigerenzer,Peter M. Todd,ABC Research Group
Simple Heuristics that Make Us Smart Book PDF

Author : Gerd Gigerenzer,Peter M. Todd,ABC Research Group
Publisher : Oxford University Press
Page : 432 pages
File Size : 54,5 Mb
Release : 2000-10-12
Category : Psychology
ISBN : 9780190286767

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Simple Heuristics that Make Us Smart by Gerd Gigerenzer,Peter M. Todd,ABC Research Group Pdf

Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions.

Modern Heuristic Search Methods

V. J. Rayward-Smith
Modern Heuristic Search Methods Book PDF

Author : V. J. Rayward-Smith
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 49,7 Mb
Release : 1996-12-23
Category : Computers
ISBN : UOM:39015040654199

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Modern Heuristic Search Methods by V. J. Rayward-Smith Pdf

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.