How to Solve It: Modern Heuristics

Book Description

This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. 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. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.

This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised.

Customer Reviews:

Kind of old stuffs.......2007-09-23

The material is alright but it is just kind of old. I can not tell from the original description otherwise, I will
not have bought it.

Optimization Mini-Library.......2007-02-20

This is the best book I have in my optimization library. It is excellent for students and teachers as well. It introduces you to optimization using a simple language, practical examples explained in a very didactical manner. It surveys optimization techniques and categorizes it in a very well-arranged and simplified format. You wouldn't have to read tens of pages with unsightly symbols, messed with subscripts and superscripts to understand a single optimization technique.
It also brings an uplifting introduction to the concept of problem solving. I highly recommend this book to Optimization and Mathematics students and teachers.
Read the book, once you are done, look at the table of contents and give a five minutes lecture on each single title and subtitle, which is what you will be capable of doing at the end.

It's not the technique, it's the logic behind it.......2006-07-24

Most evolutionary computation or math books deal with the techniques of solving problems. This book teachs you how to think of a solution for the problem you face, and not what problems are appropriate for the technique in hand.

The logic is that when you do a craft work, you do pick the appropriate tool from your tools box, but you don't grasp a tool and then find a job to go with it, which is the case when you can only handle this tool.

improve your problem solving ability.......2006-02-20

The authors have updated their successful first edition, though the latter, printed in 99, was scarcely obsolete. A heuristic can be basically a rule of thumb, dressed up in fancier language. What the authors intend is for you to develop an intuition about when to use modern algorithms. Where is almost every case, these are actually implemented on a computer; a reflection of the cheap availability of computing power to most readers.

The book is a good complement to various standard algorithm texts, like those by Sedgewick, Aho and Knuth. You can consider this book as standing a level above those. [Though Knuth's books also do an excellent job of suggesting when to use or modify algorithms. ]

The level of discussion here is not of a strict, heavy mathematical approach. It can be read as informal guidelines, that discuss the gist of such ideas as simulated annealing and evolutionary methods. There is a wide range of example problems, to motivate you in understanding what might be used to solve them.

get this book!, read it!, understand it! :).......2006-01-01

i have not finished reading this book, but it's 'worth it' if only for the first two chapters! :) anyone interested in dynamical systems (control aspects), general problem solving, AI, and human thinking should read and understand this book! :) work the problems! :) think! enjoy! :)

Optimal Bundling: Marketing Strategies for Improving Economic Performance

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Optimal Bundling: Marketing Strategies for Improving Economic Performance

Manufacturer: Springer
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Binding: Hardcover

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ASIN: 3540652477

Book Description

Scientific knowledge and practical advice are combined in this book. Leading scientists present their latest research results in the area of product and price bundling, with respect to optimization as well as to behavioral bundling approaches. In addition the reader will learn how to implement bundling strategies and how to set up a bundling concept. He will find a thorough explanation of the value that bundling has for improving a company`s profit and sales.

Genetic Algorithms + Data Structures = Evolution Programs

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Lot of ideas for Genetic and Evolutionary Algorithm
could GA get possibly any eaiser to understand???
One of the best book on genetic algorithms
pretty bad
Awful, unreadable book.

Genetic Algorithms + Data Structures = Evolution Programs
Zbigniew Michalewicz
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540606769

Amazon.com

Zbigniew Michalewicz's Genetic Algorithms + Data Structures = Evolution Programs has three sections. The first section is a straightforward introduction to genetic algorithms. In the second section, Michalewicz describes how to apply genetic algorithms to numerical optimization. Michalewicz, who is a pioneer in this field, discusses the rationale for using genetic algorithms for numerical optimization and describes several experiments that show how this new type of genetic algorithm performs. The author devotes the third section of the book to evolution programs.

Book Description

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science.
The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.

Customer Reviews:

Lot of ideas for Genetic and Evolutionary Algorithm.......2007-01-05

This book is not written to be the primary text book for a Genetic Algotithm, Data Structure or a Neural Algorithm course. However this book gives an excellent introduction to modern approaches to Evolutionary Algorithm, and how/whether GAs and EAa can be applied successfully to problems of Optimisation, Navigation, and also other contemporary and emerging fields.

This book emphasizes on a lot of fresh ideas (which already requires background in GA, and Algorithms) and may be highly recommended for reference reading of Evolutionary Algorithms and allied Techniques.

could GA get possibly any eaiser to understand???.......2005-03-20

I saw this book once with one of my buddies,and read the first chapter,,,it was after looking up the first chapter i decided to buy it...I have read some other books on this topic,and since i was kinda in rush for a project which needed GA,i found no other book which explains the concepts and procedures, this straightforward and "right to the point".As far as writing this book goes, "Michalewicz" has done a really really great job.
Go for it guys!!!
cheers,
Amir

One of the best book on genetic algorithms.......2002-07-12

A very good vision of the evolutionary optimisation techniques not only GA. As well there is an excellent chapter on constraints handling. Maybe it is not one of the easiest book on GA but it is definitely the most useful.

pretty bad.......2001-06-13

I agree with the previous reviewer: books should be clear and get to the point. Forget about this one. Get Michalewicz and Fogel's "How to solve it" book. It is MUCH better than this one in all levels: it is better written and the content is more authorative and helpful to novices and experts.

This book is supposed to be a textbook. Maybe that's why it sells so well. I guess I am lucky I didn't have to take a class with this thing.

Awful, unreadable book........2000-11-14

This man needs to invest in a good editor. Many times I'd read through half a page or so, stop to think about it and then rephrase it into one or two sentences. Blobs of math appear to be thrown in with little justification, and the book isn't improved by them.

But this book is not only unreadable, it's also not useful. It's more an overview of the area than anything else; it doesn't give adequate information about genetic programming or neural networks. It skims many areas in a close to incomprehensible fashion without covering any in what I would consider to be good detail.

Book Description

This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium.
The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.

Emergent Computing Methods in Engineering Design: Applications of Genetic Algorithms and Neural Networks (NATO ASI Series / Computer and Systems Sciences)

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Emergent Computing Methods in Engineering Design: Applications of Genetic Algorithms and Neural Networks (NATO ASI Series / Computer and Systems Sciences)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540608737

Book Description

This volume presents a collection of papers addressing aspects of the application of emergent computing paradigms in engineering design. Papers on genetic algorithms and evolutionary computing discuss proposed improvements to computing methodology as well as applications in engineering design. Papers on neural networks study theoretical issues of interpretation as well as their potential use as approximation tools in design and their applications in embedded and fuzzy control systems. Other papers deal with such topics as the combined use of genetic algorithms and neural networks, applications of the simulated annealing approach, problem decomposition techniques, and computer recognition and interpretation of objects. The book shows the tremendous potential of emergent methods in engineering design.

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Scheduling Algorithms
Peter Brucker
Manufacturer: Springer
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ASIN: 3540205241

Book Description

Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The method used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are updated and summarized. Also the references are updated.

Linear Optimization and Extensions: Problems and Solutions (Universitext)

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Computational and Mathematical Excellence
A good reference for Linear Programming Theory

Linear Optimization and Extensions: Problems and Solutions (Universitext)
Dimitris Alevras , and Manfred W. Padberg
Manufacturer: Springer
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Binding: Paperback

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ASIN: 3540417443

Book Description

This book offers a comprehensive treatment of the exercises and case studies as well as summaries of the chapters of the book "Linear Optimization and Extensions" by Manfred Padberg. It covers the areas of linear programming and the optimization of linear functions over polyhedra in finite dimensional Euclidean vector spaces.
Here are the main topics treated in the book: Simplex algorithms and their derivatives including the duality theory of linear programming. Polyhedral theory, pointwise and linear descriptions of polyhedra, double description algorithms, Gaussian elimination with and without division, the complexity of simplex steps. Projective algorithms, the geometry of projective algorithms, Newtonian barrier methods. Ellipsoids algorithms in perfect and in finite precision arithmetic, the equivalence of linear optimization and polyhedral separation. The foundations of mixed-integer programming and combinatorial optimization.

Customer Reviews:

Computational and Mathematical Excellence.......2002-05-26

For nearly 30 years, Padberg has been a leader in computational integer programming and in combinatorial optimization theory.

In practice, Padberg has helped to design and implement "branch-and-cut" methods for finding exact optimal solutions to large traveling salesman problems, and this approach is a method of choice for finding approximately optimal solutions to tough industrial problems. The book provides the mathematical and computational background for understanding branch-and-cut; the established mathematical texts by Nemhauser and Wolsey and by Schrijver are less detailed and more condensed, and omit numerical issues. The treatment of modern simplex algorithms for linear programming---updating LU factorizations and using column- and constraint-generation and -purging---is excellent, and a large bibliography contains recent references. Besides industrial and Berlin-airlift scheduling problems, the book contains TSP examples of circuit-board wiring, U.S. state capitals, and Odysseus!

Three more highlights: The double description algorithm receives a complete description, and this is useful for combinatorial geometers. The discussion of integer-arithmetic and complexity theory is very readable, and these technical topics are slighted by interior-point books (besides Wright's quickie), despite their importance in integer programming and combinatorial optimization. The discussion of interior-point algorithms emphasizes projective geometry, a beautiful theory that has inspired so much of optimization theory---besides Karmarkar's interior-point algorithm, Dantzig's simplex algorithm, Fenchel duality, Davidon's conic algorithm for nonlinear optimization, etc.).

The book is not a comprehensive survey of linear programming,
and lacks a treatment of Nesterov's theory of self-concordant barrier-functions. Also, no treatment is given of pivoting algorithms besides Dantzig's (e.g., Terlaky's criss-cross method, Todd's oriented matroid algorithm).

A good reference for Linear Programming Theory.......2000-06-01

This book is certainly a very good reference for theoretical topics of linear programming. It covers the Simplex method and the Ellipsoid algorithms. It also covers the geometry of linear programming (polyhedra and polytopes, etc). It certainly covers more topics than most other linear programming texts. As expected, a book writen for theoretical topics is certainly not easy to read, especially for people with no training in doing rigorous mathematical proofs. Also, not many examples or illustrations are given in this book, and this might be a problem for some readers.

Algebra und Diskrete Mathematik 2: Lineare Optimierung, Graphen und Algorithmen, Algebraische Strukturen und Allgemeine Algebra mit Anwendungen (Springer-Lehrbuch)

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Algebra und Diskrete Mathematik 2: Lineare Optimierung, Graphen und Algorithmen, Algebraische Strukturen und Allgemeine Algebra mit Anwendungen (Springer-Lehrbuch)
Dietlinde Lau
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540203982

Book Description

Algebra und Diskrete Mathematik gehören zu den wichtigsten mathematischen Grundlagen der Informatik. Dieses zweibändige Lehrbuch führt umfassend und lebendig in den Themenkomplex ein. Dabei ermöglichen ein klares Herausarbeiten von Lösungsalgorithmen, viele Beispiele, ausführliche Beweise und eine deutliche optische Unterscheidung des Kernstoffs von weiterführenden Informationen einen raschen Zugang zum Stoff. Die umfangreiche Sammlung von Übungsaufgaben erleichtert nicht nur eine aktive Erarbeitung des Inhalts, sondern zeigt auch die unterschiedlichsten Anwendungsmöglichkeiten auf. Zum Inhalt: Band 2 besteht aus den drei Teilen: Lineare Optimierung, Graphen und Algorithmen, Algebraische Strukturen und Allgemeine Algebra mit Anwendungen

Algebraische Methoden in der ganzzahligen Optimierung

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Algebraische Methoden in der ganzzahligen Optimierung
Joachim Piehler
Manufacturer: B G TEUBNER STUTTGART
ProductGroup: Book
Binding: Paperback
ASIN: B000UG7MFU

Antrieb nach Maß. Auslegung und Optimierung des Elektroantriebes zum Flugmodell.

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Antrieb nach Maß. Auslegung und Optimierung des Elektroantriebes zum Flugmodell.
Wilhelm Geck
Manufacturer: Neckar-Verlag
ProductGroup: Book
Binding: Paperback

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ASIN: 3788316365

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