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p-Optimality-Based Multiobjective Root System Growth Algorithms for Multiobjective Applications

机译：基于P优选的多目标基础系统生长算法，用于多目标应用

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摘要

In this paper, a multiobjective root system growth algorithm-based p-optimality (p-MORSGA) is proposed. The proposed p-MORSGA extended original root system growth algorithm with multiobjective nondomination strategy. To enhance its effect of convergence of solution groups, the p-optimality criterion is employed to determine the solutions of last nondominated front into the next generation group. In the evolution process, global general (GG), concerning the margin information and population density, is selected as the suitable optimality criterion of evaluating the performance of solutions. Application of the new p-MORSGA on several multiobjective benchmark functions shows a marked improvement in performance over the modified classical MOEAs with such criterion. Finally, the proposed p-MORSGA is applied to solve two real-world problems, multiobjective portfolio optimization problems (MOPOPs) and multiobjective optimal power flow (OPF) problems. The experimental results demonstrate that p-MORSGA is extremely effective for real-world application problems.
机译：在本文中，提出了一种基于多目标根系生长算法的P-最优性（P-Morsga）。拟议的P-Morsga扩展了具有多目标非测量策略的原始根系生长算法。为了增强溶液组的收敛影响，采用p-Optimaly标准来确定最后一个非主动前面的溶液进入下一代组。在演进过程中，选择关于保证金信息和人口密度的全局通用（GG）作为评估解决方案性能的合适的最优性标准。新的P-Morsga在几个多目标基准函数上的应用显示了具有此类标准的修改经典莫亚斯的性能的显着提高。最后，拟议的P-Morsga应用于解决两个现实世界问题，多目标产品组合优化问题（MOPOPS）和多目标最佳功率流（OPF）问题。实验结果表明，P-Morsga对现实世界的应用问题非常有效。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第19期|7561398.1-7561398.25|共25页
  • 作者

    Liu Rui; Chen Hanning; Song Lina; Ding Man;

  • 作者单位

    Jilin Univ Coll Math Changchun Jilin Peoples R China|Jilin Normal Univ Coll Math Siping Peoples R China;

    Tianjin Polytech Univ Sch Sci & Technol Tianjin Peoples R China;

    Tianjin Polytech Univ Sch Sci & Technol Tianjin Peoples R China;

    Hebei Univ Technol Sch Architecture & Art Design Tianjin Peoples R China;

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