How to solve it : modern heuristics
By: Michalewicz, Zbigniew
Title By: Fogel, David B
Material type:
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 153.43 MI HO (Browse shelf) | Available | T0055335 | ||
REGULAR | University of Wollongong in Dubai Main Collection | 153.43 MI HO (Browse shelf) | Available | T0053478 |
"With 174 Figures and 7 Tables."
Includes bibliographical references (p. [525]-550) and index.
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. Turning the algorithm to the problem -- 11. Time-varying environments and noise -- 12. Neural networks -- 13. Fuzzy systems -- 14. Coevolutionary systems -- 15. Multicriteria decision-making -- 16. Hybrid systems -- 17. Summary -- App. A. Probability and statistics -- App. B. Problems and projects.
Looks at using heuristics for problem solving, including such methods as gradient techniques, simplex method, and dynamic programming. Includes exercises.
ECTE469