haku: @indexterm quadratic programming / yhteensä: 24
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Tekijä:Crama, Y.
Schyns, M.
Otsikko:Simulated annealing for complex portfolio selection problems
Lehti:European Journal of Operational Research
2003 : NOV, VOL. 150:3, p. 546-571
Asiasana:Finance
Heuristic methods
Portfolio selection
Quadratic programming
Optimization
Kieli:eng
Tiivistelmä:This paper describes the application of a simulated annealing approach to the solution of a complex portfolio selection model. The model is a mixed integer quadratic programming problem which arises when Markowitz' classical mean-variance model is enriched with additional realistic constraints. Exact optimization algorithms run into difficulties in this framework and this motivates the investigation of heuristic techniques. Computational experiments indicate that the approach is promising for this class of problems.
SCIMA tietueen numero: 254795
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