[1] LI ZHAN, Weijun WEI, Yimin ZOU. Discussion on strengthening emergency work for nuclear accidents in nuclear power plants, 515-520(2012).

[2] X D Huang, F L Du. Off-site emergency response of AP1000(2014).

[3] M S Sultan, X P Chen, N Qadeer et al. Vision guided path planning system for vehicles using infrared landmark, 179-184(2014).

[4] A Q Alzalloum. Application of shortest path algorithms to find paths of minimum radiation dose(2009).

[5] Q Y Pei, L J Hao, C H Chen et al. Minimum collective dose based optimal evacuation path-planning method under nuclear accidents. Annals of Nuclear Energy, 147, 107644(2020).

[6] E Fernandes, P Costa, J Lima et al. Towards an orientation enhanced astar algorithm for robotic navigation, 3320-3325(2015).

[7] C Chen, J J Cai, Z Wang et al. An improved A* algorithm for searching the minimum dose path in nuclear facilities. Progress in Nuclear Energy, 126, 103394(2020).

[8] Mengwen QIU, Hua ZHANG, Huaifang ZHOU. Path planning for nuclear radiation environments based on an improved artificial potential field A*algorithm. Journal of Radiation Research and Radiation Processing, 40, 060601(2022).

[9] Hengzhu ZHAO, Minghan YANG, Duocheng DENG et al. Path planning of mobile robot under expected radiation dose. Journal of Radiation Research and Radiation Processing, 39, 80-87(2021).

[10] Zhiqiang ZHENG, Fang DUAN, Guopeng SONG et al. Summary of research on path planning algorithm of unmanned vehicle, 116-120(2022).

[11] Z Wang, J J Cai. The path-planning in radioactive environment of nuclear facilities using an improved particle swarm optimization algorithm. Nuclear Engineering and Design, 326, 79-86(2018).

[12] Honggui HAN, Ziang XU, Jingjing WANG. A Q-learning-based Multi-task Multi-objective Particle SwarmOptimization Algorithm. Control and Decision, 38, 3039-3047(2023).

[13] H F Zhou, H Zhang, M W Qiu. Radiation avoiding algorithm for nuclear robot path optimization. Annals of Nuclear Energy, 169, 108948(2022).

[14] Guangcheng ZHANG, Tao HE, Xiaolei ZHENG et al. Simulation research of nuclear emergency path planning based on the coupling of dose weight factor and ant colony optimization. Journal of Radiation Research and Radiation Processing, 38, 020601(2020).

[15] Z H Tang, X W Xie, J J Cai et al. An optimization method of multi-objective evacuation path for off-site emergency under severe nuclear accidents. Annals of Nuclear Energy, 174, 109170(2022).

[16] Qiang WEI, Bo ZHU, Changji XIE. Simulation research on path planning of nuclear emergency decision with constraints. Nuclear Power Engineering, 34, 176-179(2013).

[17] Qi YU, Yuanzhong LIU. Application of a Gaussian segmented plume model and a Lagrangian puff model during the nuclear emergency. Chinese Journal of Nuclear Science and Engineering, 21, 288-292(2001).

[18] H Terada, G Katata, M Chino et al. Atmospheric discharge and dispersion of radionuclides during the Fukushima Dai-ichi Nuclear Power Plant accident. Part II: verification of the source term and analysis of regional-scale atmospheric dispersion. Journal of Environmental Radioactivity, 112, 141-154(2012).

[20] Yonghong WANG. Fukushima nuclear accident emergency(2005).

[21] L Wang, Z Y Gao, L X Yang. A priorileast expected time paths in fuzzy, time-variant transportation networks. Engineering Optimization, 48, 272-298(2016).

[22] L A Zadeh. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, 3-28(1978).

[23] B Liu. Uncertainty theory: an introduction to its axiomatic foundation(2004).

[24] I Giagkiozis, R C Purshouse, P J Fleming. An overview of population-based algorithms for multi-objective optimisation. International Journal of Systems Science, 46, 1572-1599(2015).