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" How to solve it : "
Zbigniew Michalewicz, David B. Fogel.
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BL
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| Record Number
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728281
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b548019
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| Main Entry
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Zbigniew Michalewicz, David B. Fogel.
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| Title & Author
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How to solve it : : modern heuristics\ Zbigniew Michalewicz, David B. Fogel.
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| Publication Statement
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Berlin ; New York: Springer, ©2000.
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| Page. NO
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(xv, 467 pages) : illustrations
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| ISBN
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3662041316
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: 9783662041314
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| Contents
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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 Do You Like Simple Solutions? --;14 Hybrid Systems --;15 Summary --;Appendix A: Probability and Statistics --;A.1 Basic concepts of probability --;A.2 Random variables --;A.2.1 Discrete random variables --;A.2.2 Continuous random variables --;A.3 Descriptive statistics of random variables --;A.4 Limit theorems and inequalities --;A.5 Adding random variables --;A.6 Generating random numbers on a computer --;A.7 Estimation --;A.8 Statistical hypothesis testing --;A.9 Linear regression --;A.10 Summary --;Appendix B: Problems and Projects --;B.1 Trying some practical problems --;B.2 Reporting computational experiments with heuristic methods --;References.
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| Abstract
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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.
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| Subject
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Heuristic.
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| Subject
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Problem solving.
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| Subject
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Résolution de problème
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| LC Classification
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QA63.Z354 2000
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| Added Entry
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David B Fogel
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Zbigniew Michalewicz
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