基于NSGA-Ⅱ的油气管网多目标布局优化
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  • 英文篇名:Multi-objective Layout Optimization of Oil-gas Pipeline Network Based on NSGA-Ⅱ
  • 作者:柳强 ; 毛莉
  • 英文作者:LIU Qiang;MAO Li;School of Information and Control Engineering, Liaoning Shihua University;
  • 关键词:避障 ; NSGA-Ⅱ ; 多目标 ; 油气管网 ; 优化
  • 英文关键词:Obstacle avoidance;;NSGA-Ⅱ;;multi-objective;;oil-gas pipeline network;;optimization
  • 中文刊名:JZDF
  • 英文刊名:Control Engineering of China
  • 机构:辽宁石油化工大学信息与控制工程学院;
  • 出版日期:2019-02-20
  • 出版单位:控制工程
  • 年:2019
  • 期:v.26;No.170
  • 基金:国家自然科学基金资助项目(51305192);; 辽宁省高等学校杰出青年学者成长计划项目(LJQ2014037);; 辽宁省博士科研启动基金项目(20131061)
  • 语种:中文;
  • 页:JZDF201902022
  • 页数:6
  • CN:02
  • ISSN:21-1476/TP
  • 分类号:132-137
摘要
提出了一种基于NSGA-Ⅱ的油气管网多目标布局优化方法。以管道建设费用、集气总站建设费用最小化为主要优化目标,建立了油气管网多目标布局优化模型。应用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)对所建多目标问题进行求解,其中,通过多边形对障碍进行建模描述,并用集成可视图法处理避障约束。所提方法考虑了油气管网的多目标优化及避障约束,因此具有较好的理论一般性与实际应用价值。最后通过油气管网规划算例验证了所提方法的可行性。
        This paper presents a multi-objective layout optimization method for the oil-gas pipeline network based on NSGA-Ⅱ. Pipeline construction costs and gas collecting station construction costs are formulated as major objectives, and the model of multi-objective optimization in oil and gas pipeline network layout planning is established. By using non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) to solve the multi-objective problem, polygon is used to describe the obstacles, and obstacle avoidance is handled using the visual graph method. The proposed method considers multi-objective optimization of the oil-gas pipeline network and obstacle avoidance constraints, so it has good general theory and practical application value. Finally, a numerical example of oil and gas pipeline network is provided to verify the feasibility of the proposed method.
引文
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