采用二分策略，通过最大化模块密度，提出了基于离散量子粒子群优化进行复杂网络社区检测的算法。

With bi-partitioning strategy, by maximizing the module density, an algorithm is proposed based on discrete quantum particle swarm optimization for complex network community detection.

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根据限流措施优化配置问题的特点，提出先对候选可开断支路采用枚举法求解支路开断的优化方案，再采用改进离散粒子群算法(MDPSO)求解综合限流方案。

An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.

youdao

根据限流措施优化配置问题的特点，提出先对候选可开断支路采用枚举法求解支路开断的优化方案，再采用改进离散粒子群算法(MDPSO)求解综合限流方案。

An enumeration method was used to get the optimal splitting of the candidate branches. A modified discrete particle swarm optimization algorithm (MDPSO) was used to get the final strategy.

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