| Description |
xv, 467 pages : illustrations ; 24 cm |
| Contents |
1. Why are some problems difficult to solve? -- 2. Basic concepts -- 3. Traditional methods, part 1 -- 4. Traditional methods, part 2 -- 5. Escaping local optima -- 6. An evolutionary approach -- 7. Designing evolutionary algorithms -- 8. The traveling salesman problem -- 9. Constraint-handling techniques -- 10. Tuning the algorithm to the problem -- 11. Time-varying environments and noise -- 12. Neural networks -- 13. Fuzzy systems -- 14. Hybrid systems -- 15. Summary |
| Summary |
"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 intended for students and practitioners alike."--BOOK JACKET |
| Notes |
Corrected Third Printing 2002 |
| Bibliography |
Includes bibliographical references (pages [445]-464) and index |
| Subject |
Heuristic.
|
|
Problem solving.
|
| Author |
Fogel, David B.
|
| LC no. |
99037542 |
| ISBN |
3540660615 (alk. paper) |
|
