genetic stochastic model

基本解釋

A genetic algorithm is used to solve this stochastic programming model.
采用遺傳算法對該隨機規(guī)劃模型進行求解。
We constructed a decision-making model with stochastic constraint and employ genetic algorithm based on stochastic simulation techniques to solve it.
建立了帶隨機約束條件的決策優(yōu)化模型，并針對該模型給出了用基于隨機模擬的遺傳算法進行求解的方法。
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.
對于復雜的多隨機變量機會約束模型，使用基于隨機模擬的遺傳算法可以有效地獲得問題的解，且最終方案排序合理。