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Interviews | February 14, 2012

Jill Owens: IMG Stephen Dau: The Powells.com Interview

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Stephen DauStephen Dau's The Book of Jonas is a marvelous, lyrical debut that examines the effects of war on everyone involved. Dau weaves together the stories... Continue »
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How To Solve It Modern Heuristics 2ND Edition

by Zbignie Michalewicz

How To Solve It Modern Heuristics 2ND Edition Cover

 

Synopses & Reviews

Publisher Comments:

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.
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Table of Contents

Preface.- Introduction.- I. What Are the Ages of My Three Sons? 1. Why Are Some Problems Difficult to Solve?- II. How Important Is a Model? 2. Basic Concepts.- III. What Are the Prices in 7-11? 3. Traditional Methods - Part 1.- IV. What Are the Numbers? 4. Traditional Methods - Part 2.- V. What's the Color of the Bear? 5. Escaping Local Optima.- VI. How Good Is Your Intuition? 6. An Evolutionary Approach.- VII. One of These Things Is Not Like the Others 7. Designing Evolutionary Algorithms.- VIII. What Is the Shortest Way? 8. The Traveling Salesman Problem.- IX. Who Owns the Zebra? 9. Constraint-Handling Techniques.- X. Can You Tune to the Problem? 10. Tuning the Algorithm to the Problem.- XI. Can You Mate in Two Moves? 11. Time-Varying Environments and Noise.- XII. Day of the Week of January 1st. 12. Neural Networks.- XIII. What Was the Length of the Rope? 13. Fuzzy Systems.- XIV. Everything Depends on Something Else. 14. Coevolutionary Systems.- XV. Who is Taller? 15. Multicriteria Decision-Making. XVI. Do You Like Simple Solutions? 16. Hybrid Systems.- 17. Summary.- Appendices.- References.- Index.

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Product Details

ISBN:
9783540224945
Author:
Michalewicz, Zbignie
Publisher:
Springer
Author:
Michalewicz, Zbigniew
Author:
Fogel, David B.
Subject:
Computer Science
Subject:
Linear Programming
Subject:
Problem solving
Subject:
OPTIMIZATION
Subject:
Evoltionary Computation
Subject:
Evolutiore Algorithmen
Subject:
Heuristik
Subject:
Modern Heuristics
Subject:
Optimierung
Subject:
Problemlsen
Subject:
Algorithm Analysis and Problem Complexity
Subject:
Quantitative Finance
Subject:
Calculus of Variations and Optimal Control; Optimization
Subject:
Statistics/General
Subject:
Complexity
Subject:
BUSINESS INFORMATION SYSTEMS
Subject:
Mathematics-Computer
Copyright:
2004
Edition Number:
2
Edition Description:
2nd ed. Revised and Extended
Publication Date:
December 2004
Binding:
HARDCOVER
Language:
English
Illustrations:
174 schw.-w. Abb., 7 schw.-w. Tab.
Pages:
572
Dimensions:
235 x 155 mm 2170 gr
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