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Optimum Design of Network Structures Based on Hybrid Intelligence of Genetic-ant Colonies Algorithm

机译:基于遗传蚁群算法混合智能的网络结构优化设计

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The problem of maximum multi-reliabilities is studied aiming to the network structures. Firstly, the optimum model of network structures based on random and fuzzy chances constrained is given. The solution strategy of genetic-ant colonies algorithm with stochastic simulation and fuzzy simulated is studied, and the detailed steps of hybrid intelligence are given based on stochastic simulation and fuzzy simulation. At last, an instance is given, multi-objects model with chance constrained programming is provided, the model is solved by genetic-anti colonies algorithm. The feasibility of hybrid intelligence of genetic algorithm and ant colonies with stochastic simulation and fuzzy simulated is verified by the result of calculation.
机译:针对网络结构,研究了最大多重可靠性问题。首先,给出了基于随机和模糊机会约束的网络结构优化模型。研究了带有随机模拟和模糊模拟的遗传蚁群算法的求解策略,并基于随机模拟和模糊模拟给出了混合智能的详细步骤。最后给出了一个实例,给出了机会约束规划的多目标模型,并通过遗传-反克隆算法进行求解。计算结果验证了遗传算法与蚁群混合智能的随机仿真与模糊仿真的可行性。

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