genetic stochastic model

基本解释

A genetic algorithm is used to solve this stochastic programming model.
采用遗传算法对该随机规划模型进行求解。
We constructed a decision-making model with stochastic constraint and employ genetic algorithm based on stochastic simulation techniques to solve it.
建立了带随机约束条件的决策优化模型，并针对该模型给出了用基于随机模拟的遗传算法进行求解的方法。
For the complicated chance constrained model with multiple stochastic variables, a genetic algorithm incorporated with stochastic simulation is used to obtain reasonable solutions to problems.
对于复杂的多随机变量机会约束模型，使用基于随机模拟的遗传算法可以有效地获得问题的解，且最终方案排序合理。