stochastic programming oor Sjinees

stochastic programming

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The optimization methods include mathematical programming techniques such as linear programming, quadratic programming, dynamic programming, stochastic programming, nonlinear programming, and the global search algorithms such as genetic algorithms, simulated annealing, and tabu search.
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The first approach is to make decisions by considering various possible future scenarios and estimating the probability of each scenario (stochastic programming). This approach is advantageous in that it enables practically viable decision making under a realistic scenario.
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Although I do not go into detail, a variety of hybrid approaches, which combine the stochastic programming and robust optimization approaches, have been proposed in recent years in an attempt to overcome their respective shortcomings. Distributionally robust optimization is one such example.
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3 sinne gevind in 2 ms. Hulle kom uit baie bronne en word nie nagegaan nie.