An edition of How to Solve It: Modern Heuristics (2004)

How to Solve It: Modern Heuristics

Second, Revised and Extended Edition.

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Cover of: How to Solve It: Modern Heuristics by Zbigniew Michalewicz
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February 26, 2022 | History
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An edition of How to Solve It: Modern Heuristics (2004)

How to Solve It: Modern Heuristics

Second, Revised and Extended Edition.

by

  • 0 Ratings
  • 1 Want to read
  • 0 Currently reading
  • 0 Have read

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.

Publish Date
Publisher
Springer Berlin Heidelberg
Language
English
Pages
554

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Previews available in: English

Subjects
Statistics, Finance, Engineering, Computer science, Management information systems, Mathematical optimization, Physics, Computer software, Problem solving, Heuristic programming

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Cover of: How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
2004, Springer Berlin Heidelberg
electronic resource / in English - Second, Revised and Extended Edition.
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Book Details

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.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg

Classifications

Dewey Decimal Class
005.1
Library of Congress
QA76.9.A43, QA75.5-76.95, QA76.6-76.66

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (xviii, 554 p.)
Number of pages
554

ID Numbers

Open Library
OL27044152M
Internet Archive
howtosolveitmode00mich_676
ISBN 10
3642061346, 3662078074
ISBN 13
9783642061349, 9783662078075
OCLC/WorldCat
851379968

Source records

Internet Archive item record
Better World Books record
Better World Books record

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 26, 2022 Edited by ImportBot import existing book
October 5, 2021 Edited by ImportBot import existing book
July 1, 2019 Created by MARC Bot Imported from Internet Archive item record