CN106845623B - 一种基于人工鱼群算法的电力无线专网基站规划方法 - Google Patents
一种基于人工鱼群算法的电力无线专网基站规划方法 Download PDFInfo
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Families Citing this family (11)
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CN107347189B (zh) * | 2017-06-19 | 2020-09-01 | 国网浙江省电力公司嘉兴供电公司 | 一种td-lte 230无线专网基站规划方法 |
CN108650682B (zh) * | 2017-12-29 | 2020-11-10 | 西安电子科技大学 | 一种5g超密集无线网络的基站布设装置及其方法 |
CN108616892B (zh) * | 2018-03-16 | 2021-09-10 | 重庆邮电大学 | 一种基于混合免疫算法的4g基站选址方法 |
CN108964099B (zh) * | 2018-06-21 | 2023-05-23 | 深圳市欣旺达综合能源服务有限公司 | 一种分布式储能系统布局方法及系统 |
CN108966241B (zh) * | 2018-06-28 | 2020-09-25 | 江南大学 | 一种自适应改进鱼群算法的优化方法 |
CN109905881A (zh) * | 2019-01-09 | 2019-06-18 | 中国电力科学研究院有限公司 | 一种基于人工蜂群算法确定基站选取方案的方法及系统 |
CN109862572B (zh) * | 2019-02-25 | 2022-06-28 | 全球能源互联网研究院有限公司 | 智能干扰分析系统的部署方法、评估方法及电子设备 |
CN112926167A (zh) * | 2021-04-06 | 2021-06-08 | 云南经济管理学院 | 供电电缆选型方法、装置、电子设备及存储介质 |
CN113688488B (zh) * | 2021-08-17 | 2023-05-30 | 南京信息工程大学 | 基于改进的人工鱼群算法的电网线路规划方法 |
CN115764988A (zh) * | 2022-11-03 | 2023-03-07 | 国网江苏省电力有限公司电力科学研究院 | 一种含风电机组发电控制系统的pid控制方法、设备及介质 |
CN116502784A (zh) * | 2023-06-27 | 2023-07-28 | 长春工业大学 | 一种基于混合智能优化算法的路径规划方法 |
Citations (2)
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CN104960651A (zh) * | 2015-07-16 | 2015-10-07 | 安徽科微智能科技有限公司 | 一种自主导航水底探测机器人 |
CN106127332A (zh) * | 2016-06-20 | 2016-11-16 | 上海交通大学 | 基于最优空间匹配的基站资源配置与规划方法 |
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CN105162151B (zh) * | 2015-10-22 | 2017-06-16 | 国家电网公司 | 一种基于人工鱼群算法的智能化储能系统并网实时控制方法 |
CN105243460B (zh) * | 2015-11-12 | 2019-01-01 | 重庆大学 | 一种基于改进人工鱼群算法的输电塔塔腿辅材拓扑结构优化方法 |
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CN104960651A (zh) * | 2015-07-16 | 2015-10-07 | 安徽科微智能科技有限公司 | 一种自主导航水底探测机器人 |
CN106127332A (zh) * | 2016-06-20 | 2016-11-16 | 上海交通大学 | 基于最优空间匹配的基站资源配置与规划方法 |
Non-Patent Citations (4)
Title |
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A probabilistic greedy algorithm fo r channel assignment in cellular radio networks;Amiri D;《IEEE Transactions on Communications》;20101231;第58卷(第11期);第3286-3295页 * |
基于人工鱼群算法的无线网络规划方法研究;陈延萍 等;《软件导刊》;20140930;第13卷(第9期);第64-66页 * |
基于改进人工鱼群算法的电力无线专网基站规划;邢宁哲 等;《2016智能电网发展研讨会论文集》;20160630;第410-415页 * |
基于混合免疫算法的TD-LTE网络基站选址研究;李道国 等;《杭州电子科技大学学报(自然科学版》;20160930;第36卷(第5期);第57-61页 * |
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Address after: 100053, Beijing, Xicheng District jujube forest Street No. 32 Co-patentee after: STATE GRID CORPORATION OF CHINA Patentee after: Information communication branch company of State Grid Jibei Electric Power Co., Ltd. Co-patentee after: Beijing Yifutai Network Test Laboratory Co., Ltd. Address before: 100053, Beijing, Xicheng District jujube forest Street No. 32 Co-patentee before: State Grid Corporation of China Patentee before: Information communication branch company of State Grid Jibei Electric Power Co., Ltd. Co-patentee before: Beijing Yifutai Network Test Laboratory Co., Ltd. |
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