000			01762cam a2200301 a 4500
999			_c28467 _d28467
001			63242
010			_a 2004094686
020			_a9783540224945
040			_aDLC
082	0	4	_a153.4/3
100	1		_aMichalewicz, Zbigniew _98800
245	1	0	_aHow to solve it : _bmodern heuristics _cZbigniew Michalewicz, David B. Fogel
250			_a2nd ed., rev. and extended ed.
260			_aHeidelberg : _bSpringer, _cc2010.
300			_axviii, 554 p. : _bill. ; _c25 cm.
500			_a"With 174 Figures and 7 Tables."
504			_aIncludes bibliographical references (p. [525]-550) and index.
505	0		_a1. 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.
520			_aLooks at using heuristics for problem solving, including such methods as gradient techniques, simplex method, and dynamic programming. Includes exercises.
526	0		_aECTE469
650		0	_aProblem solving _91590
650		0	_aHeuristic _940945
650		0	_aMathematical recreations _923720
650		7	_aDecision making _940946
700	1		_aFogel, David B. _940947
856			_uhttps://uowd.box.com/s/y2udsmwngmosx8gksvcgfdwtd3o8rxla _zLocation Map
942			_cREGULAR _2ddc