核应急多约束条件下人员行动路径规划仿真研究

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Simulation Research on Path Planning of Nuclear Emergency Decision with Constraints

1. Department of Nuclear Science and Engineering, Naval University of Engineering, Wuhan, 430033, China;
2. Chinese People's Liberation Army, Unit 92337

摘要: 放射性环境中人员行动的路径规划问题是核应急决策的重要组成部分。选择一种优化的行动路径可以减少工作人员接受的剂量及辐射伤害。本文采用基于蚁群算法的方法,规划人员在放射性环境中的活动路径,并以某辐射场所为例,进行时间和剂量值约束条件下的路径规划仿真,获取较优的行动路线。
- 核应急 /
- 蚁群算法 /
- 仿真 /
- 路径规划 /
- 约束
Abstract: Path planning in the radioactive environments is an important part of nuclear emergency decision system.An optimal work rout can help to reduce the radioactive dose to workers,preventing the workers from more harm.The ant algorithm is introduced in this paper,helping to plan the work rout in the radioactive environments.At the end of this paper,it takes an radioactive worksite as an example,carries on the simulation research of path planning with constraints of time and dose,and gets the optimal movement path.
- Nuclear emergency /
- Ant Group algorithm /
- Simulation /
- Path planning /
- Constraints