系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (5): 1034-1042.doi: 10.3969/j.issn.1001-506X.2019.05.15

• 系统工程 • 上一篇    下一篇

基于鲁棒能力的体系多目标组合优化

李瑞阳, 王智学, 禹明刚, 何红悦   

  1. 陆军工程大学指挥控制工程学院, 江苏 南京 210000
  • 出版日期:2019-04-30 发布日期:2019-04-28

Multi-objective portfolio optimization of system-of-systems based on robust capabilities#br#

LI Ruiyang, WANG Zhixue, YU Minggang, HE Hongyue   

  1. College of Command and Control Engineering, Army Engineering University, Nanjing 210000, China
  • Online:2019-04-30 Published:2019-04-28

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摘要：

针对体系组合优化问题中,不同场景下系统贡献的不确定问题,提出了基于鲁棒能力的体系优化决策方法。首先对体系的鲁棒能力和模糊能力风险进行定量描述;然后以鲁棒能力最大,建设风险和成本最低为目标,考虑军事能力需求等约束,建立多目标体系组合优化模型,采用改进的基于参考点的非支配排序遗传算法求解模型,生成一组符合决策需求的非劣质解;最后通过仿真实验验证了模型和算法的有效性,可以为体系总体建设规划提供决策支持。

关键词: 体系, 多目标优化, 鲁棒能力, 基于参考点的非支配排序遗传算法

Abstract:

To solve the problem of uncertain system contribution under different scenarios for the problem of portfolio optimization, an optimization and decision-making method based on robust capabilities is proposed. First, the quantitative description of the robust capabilities and fuzzy capabilities risk is given. Then, a multi-objective portfolio optimization model is established, balancing maximum capabilities, minimum construction risk and cost, within the constraints of military capability requirements. The improved non-dominated sorting genetic algorithm 3 (NSGA3) is adopted to solve the model by generating a set of non-inferior solutions that meet the decision-making requirements. Finally, simulation experiments verify the effectiveness of the model and algorithm, and can provide support for the overall construction plan of the system.

Key words: system-of-systems (SoS), multi-objective optimization, robust capabilities, non-dominated sorting genetic algorithm 3 (NSGA3)

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