How To Solve It Modern Heuristics

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How to Solve It: Modern Heuristics

Author : Zbigniew Michalewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3662078074
Total Pages : 560 pages
Book Rating : 4.6/5 (62 download)

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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 and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

Design of Modern Heuristics

Author : Franz Rothlauf
Publisher : Springer Science & Business Media
ISBN 13 : 3540729623
Total Pages : 267 pages
Book Rating : 4.5/5 (47 download)

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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 and published by Springer Science & Business Media. This book was released on 2011-07-17 with total page 267 pages. 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.

How to Solve It: Modern Heuristics

Author : Zbigniew Michalewicz
Publisher : Springer Science & Business Media
ISBN 13 : 3662041316
Total Pages : 472 pages
Book Rating : 4.6/5 (62 download)

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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 and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 472 pages. 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.

Modern Heuristic Optimization Techniques

Author : Kwang Y. Lee
Publisher : John Wiley & Sons
ISBN 13 : 0470225858
Total Pages : 616 pages
Book Rating : 4.4/5 (72 download)

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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 and published by John Wiley & Sons. This book was released on 2008-01-28 with total page 616 pages. 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

Author : C. R. Reeves
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.3/5 (91 download)

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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 and published by John Wiley & Sons. This book was released on 1993-05-11 with total page 344 pages. 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.

121 Heuristics for Solving Problems

Author : Marco Aurelio de Carvalho
Publisher : Lulu.com
ISBN 13 : 1411616898
Total Pages : 348 pages
Book Rating : 4.4/5 (116 download)

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Book Synopsis 121 Heuristics for Solving Problems by : Marco Aurelio de Carvalho

Download or read book 121 Heuristics for Solving Problems written by Marco Aurelio de Carvalho and published by Lulu.com. This book was released on 2004-11-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : George Pólya
Publisher : Princeton University Press
ISBN 13 : 069116407X
Total Pages : 288 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis How to Solve it by : George Pólya

Download or read book How to Solve it written by George Pólya and published by Princeton University Press. This book was released on 2014 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Advances in Heuristic Signal Processing and Applications

Author : Amitava Chatterjee
Publisher : Springer Science & Business Media
ISBN 13 : 3642378803
Total Pages : 394 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Heuristic Signal Processing and Applications by : Amitava Chatterjee

Download or read book Advances in Heuristic Signal Processing and Applications written by Amitava Chatterjee and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Vasant, Pandian M.
Publisher : IGI Global
ISBN 13 : 1466620870
Total Pages : 735 pages
Book Rating : 4.4/5 (666 download)

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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. and published by IGI Global. This book was released on 2012-09-30 with total page 735 pages. 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.

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Author : Ghaith Rabadi
Publisher : Springer
ISBN 13 : 3319260243
Total Pages : 264 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling by : Ghaith Rabadi

Download or read book Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling written by Ghaith Rabadi and published by Springer. This book was released on 2016-01-27 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining: A Heuristic Approach

Author : Abbass, Hussein A.
Publisher : IGI Global
ISBN 13 : 1591400112
Total Pages : 310 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Data Mining: A Heuristic Approach by : Abbass, Hussein A.

Download or read book Data Mining: A Heuristic Approach written by Abbass, Hussein A. and published by IGI Global. This book was released on 2001-07-01 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence and Modern Heuristics

Author : Brygida Cullen
Publisher :
ISBN 13 : 9781681171999
Total Pages : 0 pages
Book Rating : 4.1/5 (719 download)

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Book Synopsis Computational Intelligence and Modern Heuristics by : Brygida Cullen

Download or read book Computational Intelligence and Modern Heuristics written by Brygida Cullen and published by . This book was released on 2016-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Simple Heuristics that Make Us Smart

Author : Gerd Gigerenzer
Publisher : Oxford University Press
ISBN 13 : 0190286768
Total Pages : 432 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Simple Heuristics that Make Us Smart by : Gerd Gigerenzer

Download or read book Simple Heuristics that Make Us Smart written by Gerd Gigerenzer and published by Oxford University Press. This book was released on 2000-10-12 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Stanford Mathematics Problem Book

Author : George Polya
Publisher : Courier Corporation
ISBN 13 : 048631832X
Total Pages : 80 pages
Book Rating : 4.4/5 (863 download)

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Book Synopsis The Stanford Mathematics Problem Book by : George Polya

Download or read book The Stanford Mathematics Problem Book written by George Polya and published by Courier Corporation. This book was released on 2013-04-09 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on Stanford University's well-known competitive exam, this excellent mathematics workbook offers students at both high school and college levels a complete set of problems, hints, and solutions. 1974 edition.

Introduction to Probability, Statistics, and Random Processes

Author : Hossein Pishro-Nik
Publisher :
ISBN 13 : 9780990637202
Total Pages : 746 pages
Book Rating : 4.6/5 (372 download)

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Book Synopsis Introduction to Probability, Statistics, and Random Processes by : Hossein Pishro-Nik

Download or read book Introduction to Probability, Statistics, and Random Processes written by Hossein Pishro-Nik and published by . This book was released on 2014-08-15 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

Essentials of Metaheuristics (Second Edition)

Author : Sean Luke
Publisher :
ISBN 13 : 9781300549628
Total Pages : 242 pages
Book Rating : 4.5/5 (496 download)

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Book Synopsis Essentials of Metaheuristics (Second Edition) by : Sean Luke

Download or read book Essentials of Metaheuristics (Second Edition) written by Sean Luke and published by . This book was released on 2012-12-20 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Genetic Programming variants, One- and Two-Population Competitive Coevolution, N-Population Cooperative Coevolution, Implicit Fitness Sharing, Deterministic Crowding, NSGA-II, SPEA2, GRASP, Ant Colony Optimization variants, Guided Local Search, LEM, PBIL, UMDA, cGA, BOA, SAMUEL, ZCS, XCS, and XCSF.

Modern Heuristic Search Methods

Author : V. J. Rayward-Smith
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Modern Heuristic Search Methods by : V. J. Rayward-Smith

Download or read book Modern Heuristic Search Methods written by V. J. Rayward-Smith and published by John Wiley & Sons. This book was released on 1996-12-23 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.