How to Solve It : Modern Heuristics by David B. Fogel and Zbigniew Michalewicz (2010, Trade Paperback)

Springer Berlin / Heidelberg

3642061346

9783642061349

108226453

Zbigniew Michalewicz, David B. Fogel

How to Solve It : Modern Heuristics

Trade Paperback

English

2010

Textbook

Xvi, 554 Pages

9.3in

6.1in

30.8 Oz

1 Vol.

Qa76.6-76.66

2

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's Taller'.- 15 Multicriteria Decision-Making.- XVI Do You Like Simple Solutions'.- 16 Hybrid Systems.- 17 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.

2004

Scholarly & Professional

Programming / General, Programming / Algorithms, Decision-Making & Problem Solving, Intelligence (Ai) & Semantics, Applied

153.4/3

21

Yes

Computers, Education, Mathematics