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<p>In optimal design of material transportation, the maximizing flow, minimizing time consumption and minimizing cost for materials transportation of flood control, etc., are the fundamental objectives which need to be optimized at the same time, therefore it is an optimal problem with multiple objectives. In this article, optimal design of material transportation for both flood control and flood discharge management is studied, which introduces appropriate approaches by means of probabilistic multi-objective optimization (PMOO) to deal with simultaneous optimization of the multiple objectives especially, and takes the maximizing flow and minimizing cost for the materials transportation of flood control as the optimal dual objectives under condition of five constraints. In addition, the uniform sampling technique in the variable - space with six independent variables is used to spread a set of sampling points so as to visualize the data processing clearly. Subsequently, in the study of flood discharge management, the optimization is conducted from six candidate schemes for maximizing the generation power and minimizing negative effects directly by means of PMOO approach. The main contribution of this paper embodies: (1) the simultaneous optimization of both objectives in the multi-objective optimization problem in terms of preferable probability by taking each objective as an independent event analogically; (2) visual data processing by means of the uniform sampling method; (3) reasonability of optimal design of material transportation by means of PMOO.</p>

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Material transportation design for flood control and flood discharge management by means of probabilistic multi-objective optimization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月24日

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  • M. Zheng,
  • J. Yu

摘要

In optimal design of material transportation, the maximizing flow, minimizing time consumption and minimizing cost for materials transportation of flood control, etc., are the fundamental objectives which need to be optimized at the same time, therefore it is an optimal problem with multiple objectives. In this article, optimal design of material transportation for both flood control and flood discharge management is studied, which introduces appropriate approaches by means of probabilistic multi-objective optimization (PMOO) to deal with simultaneous optimization of the multiple objectives especially, and takes the maximizing flow and minimizing cost for the materials transportation of flood control as the optimal dual objectives under condition of five constraints. In addition, the uniform sampling technique in the variable - space with six independent variables is used to spread a set of sampling points so as to visualize the data processing clearly. Subsequently, in the study of flood discharge management, the optimization is conducted from six candidate schemes for maximizing the generation power and minimizing negative effects directly by means of PMOO approach. The main contribution of this paper embodies: (1) the simultaneous optimization of both objectives in the multi-objective optimization problem in terms of preferable probability by taking each objective as an independent event analogically; (2) visual data processing by means of the uniform sampling method; (3) reasonability of optimal design of material transportation by means of PMOO.