基于剂量权重因子与蚁群算法耦合的核应急路径规划仿真

doi:10.11889/j.1000-3436.2020.rrj.38.020601

Journal of Radiation Research and Radiation Processing ›› 2020, Vol. 38 ›› Issue (2): 33-40.doi: 10.11889/j.1000-3436.2020.rrj.38.020601

• RADIATION PROTECTION • Previous Articles Next Articles

Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization

ZHANG Guangcheng^1,^2,^3,⁴,HE Tao^1,³(),ZHENG Xiaolei^1,³,CHEN Chunhua^1,³,WANG Jin^1,³,TAO Longlong^1,²

^1.Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China
^2.University of Science and Technology of China, Hefei 230027, China
^3.Anhui Technical Support Center of Nuclear Emergency, Hefei 230031, China
^4.Information Center of Anhui Provincial Land and Resource Department, Hefei 230601, China

Received:2019-06-28 Revised:2019-12-25 Accepted:2019-12-25 Online:2020-04-20 Published:2020-04-22
Contact: HE Tao E-mail:tao.he@fds.org.cn
About author:ZHANG Guangcheng (male) was born in August 1986, and obtained his bachelor’s degree from Anhui University in 2008. Now he is a graduate student at University of Science and Technology of China, majoring in engineering management
Supported by:
the Informatization Project of Chinese Academy of Sciences(XXH13506-104);the Project of Hefei Institutes of Physical Science, Chinese Academy of Sciences(KP-2017-19);the Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences and the Industrialization Fund

公式

Formula

参数

Parameter

含义

Implication

（5）

ρ

信息素挥发参数

Pheromone volatilization parameter

（5）

τ k l j

子群j中所有蚂蚁经过节点k到l之间路径对应的信息素浓度

The concentration of pheromones on the path between k and l nodes of all ants in subgroup j

（6）

?

控制参数

Control parameter

（6）

α

信息素参与蚂蚁寻径的重要程度

The importance of pheromone in ant routing

（6）

β

启发式因子参与蚂蚁寻径的重要程度

The importance of heuristic factors in ant routing

（7）

p k l

蚂蚁从k节点出发向下一跳l节点转移可能性大小

The transfer probability of ants from k node to l node

（8）

η k l i

k到l节点的启发式因子，即能见度大小

Heuristic factors from i to j nodes

（8）

γ

修正参数

Correction parameter

影响因素

Influence factors

λ 1 = 1

、

λ 2 = 0

λ 1 = 0

、

λ 2 = 1

λ 1 = 0.5

、

λ 2 = 0.5

最优路径序列

Optimal path sequence

a, 1, 2,5, 3, 4, 6, 7, 8, 10, 9, b

a, 1, 2, 3, 5, 4, 6, 7, 8, 10, 9, b

a, 1, 3, 2, 5, 6, 4, 7, 8, 9, 10, b

最优剂量大小 / mSv

Optimal dose

最优路径长度 / m

Optimal path length

133

142

139

巡检点 Check point	X	Y
a	9.375	8.750
b	18.750	2.500
1	1.750	5.000
2	5.250	7.500
3	6.250	3.250
4	10.000	3.000
5	7.000	5.250
6	12.250	5.000
7	14.000	2.500
8	16.000	3.750
9	17.250	0.750
10	18.000	2.250

方案 Scheme	本文算法 Paper algorithm			文献算法 Literature algorithm
方案 Scheme	迭代次数 Iterations	距离 / m Distance	剂量 / mSv Dose	迭代次数 Iterations	距离 / m Distance	剂量 / mSv Dose
距离最优 Distance optimal	9	133	51	19	159	63
剂量最优 Dose optimal	8	143	39	13	142	22
折衷最优 Comparison optimal	9	139	30	19	140	34

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Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization

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公式 Formula	参数 Parameter	含义 Implication
（5）	$ρ$	信息素挥发参数 Pheromone volatilization parameter
（5）	$τ k l j$	子群j中所有蚂蚁经过节点k到l之间路径对应的信息素浓度 The concentration of pheromones on the path between k and l nodes of all ants in subgroup j
（6）	$?$	控制参数 Control parameter
（6）	$α$	信息素参与蚂蚁寻径的重要程度 The importance of pheromone in ant routing
（6）	$β$	启发式因子参与蚂蚁寻径的重要程度 The importance of heuristic factors in ant routing
（7）	$p k l$	蚂蚁从k节点出发向下一跳l节点转移可能性大小 The transfer probability of ants from k node to l node
（8）	$η k l i$	k到l节点的启发式因子，即能见度大小 Heuristic factors from i to j nodes
（8）	$γ$	修正参数 Correction parameter