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爨莹,李亦珂. 改进蜂群算法在燃气管网布局优化中的应用[J]. 科学技术与工程, 2020, 20(24): 9943-9946.
cuanying.Application of Improved Bee Colony Algorithms in Gas Pipeline Network Layout Optimization[J].Science Technology and Engineering,2020,20(24):9943-9946.
改进蜂群算法在燃气管网布局优化中的应用
Application of Improved Bee Colony Algorithms in Gas Pipeline Network Layout Optimization
投稿时间:2019-10-14  修订日期:2020-06-01
DOI:
中文关键词:  人工蜂群算法  燃气管网优化  邻域搜索策略  判别函数
英文关键词:Artificial bee colony algorithm  Gas pipeline network optimization  Neighborhood search strategy  Discriminant function
基金项目:国家自然科学基金(编号:51707158);陕西省重点研发项目(编号:No.2019KW-045)
     
作者单位
爨莹 西安石油大学计算机学院
李亦珂 西安石油大学
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中文摘要:
      城市化的快速发展使得天然气的需求量不断增多,考虑到天然气管网在今后的运输压力会越来越大,所以相关的经济效益和管网利用率需要更加地趋于合理化。文章以管线铺设经济最优为目标函数,将人工蜂群算法应用于城镇燃气管网的优化布局中,并且在基本人工蜂群算法的寻优过程中提出了新的邻域搜索策略,在算法的贪婪选择阶段加入了判别函数,使算法原本存在的缺陷得到了改进。通过仿真结果发现,文章中提出的改进方案能够得到较好的优化结果,在实际天然气输配管网铺设中具有一定的参考价值。
英文摘要:
      With the rapid development of urbanization, the demand for natural gas is increasing. Considering that the transportation pressure of natural gas pipeline network will increase in the future, the related economic benefits and the utilization of the pipe network need to be more rationalized. This paper took economic optimization of pipeline laying as the objective function, the artificial bee colony algorithm was applied to the optimal layout of urban gas pipeline network. And a new neighborhood search strategy was introduced in the optimization process of artificial bee colony algorithms, a discriminant function was added to the greedy selection stage of the algorithm, which improved the original defects of the algorithm. Finally, the simulation results show that the improved scheme proposed in this paper can obtain better optimization results and it has a certain reference value in the actual laying of natural gas transmission and distribution network.
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