并给出不确定规划的混合智能算法。
And provide the intelligent algorithm of the uncertain program is given aswell.
在一定的置信度下，将双层规划模型转化为单层随机规划模型，并设计了相应的混合智能算法。
Transform the bilevel stochastic programming model into single-level stochastic programming model under certain confidence, and a corresponding mixed method is designed.
基于粒子群算法运用随机模拟和模糊模拟相结合的技术，给出了一种求解该规划模型的混合智能算法。
Desgined a mixed intelligent arithmetic by using the technique of combing the stochastic simulation with fuzzy simulation and particle swarm optimization algorithm to solve this kind of problems.
针对0-1 背包问题，提出一种具有修复策略的、贪心算法与二进制粒子群算法相结合的混合智能算法。
The simulation result indicates that the performance of BSPSO on knapsack problem, with a quicker convergence, is superior to the greed and genetic algorithms.
以油田措施增产最大化为目标，兼顾成本、工作量等目标，建立了油田措施规划的模糊期望值模型，并给出了模型的混合智能算法。
The problem is formulated as expected value model, and the objective function is to minimize the setup costs, production costs and inventory holding costs.
因此，应用该混合智能算法求解0 - 1背包问题是比较有效的。
Therefore, the hybrid intelligence algorithm is effective to solve 0-1 knapsack problems.
并利用混合智能算法对高校排课时间表问题、考试组卷问题与考试时间安排问题进行了较为深入的研究。
And the paper has conducted more thorough research by using the mixed intelligent algorithm to the university class schedule application, the test paper grouping and the test time arrangement.
并利用混合智能算法对高校排课时间表问题、考试组卷问题与考试时间安排问题进行了较为深入的研究。
And the paper has conducted more thorough research by using the mixed intelligent algorithm to the university class schedule application, the test paper grouping and the test time arrangement.
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