[1]顾明华.化工行业危险化学品生产事故的问题及对策[J].化工管理,2020(25):95-96.
GU Minghua.Discussion on production accidents of hazardous chemicals in chemical industry and countermeasures [J].Chemical Enterprise Management,2020(25):95-96.
[2]王吉,张儒,李俊明.基于改进型遗传算法的危险气体多泄漏源定位研究[J].武汉理工大学学报,2020,42(6):486-493.
WANG Ji,ZHANG Ru,LI Junming.Research on multi-source localization of hazardous gas leakage based on improved genetic algorithm[J].Journal of Wuhan University of Technology,2020,42(6):486-493.
[3]LU Q,LUO P.A learning particle swarm optimization algorithm for odor source localization[J].International Journal of Automation and Computing,2011,8(3):371-380.
[4]张久凤,姜春明,王正,等.粒子群优化算法在源强反算问题中的应用研究[J].中国安全科学学报,2010,20(10):123-128.
ZHANG Jiufeng,JIANG Chunming,WANG Zheng,et al.PSO algorithm for back-calculation of source intensity [J].China Safety Science Journal,2010,20(10):123-128.
[5]DASP K,BEHERA H S,PANIGRAHI B K,et al.A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning[J].Swarm and Evolutionary Computation,2016,28:14-28.
[6]张红红,王秋芬.化工企业大范围毒气泄漏源定位测量方法研究[J].计算机测量与控制,2013,21(7):1737-1739.
ZHANG Honghong,WANG Qiufen.Chemical enterprise wide range of gas leakage source location measurement method [J].Computer Measurement & Control,2013,21(7):1737-1739.
[7]WANG J,ZHANG R,YAN Y T,et al.Locating hazardous gas leaks in the atmosphere via modified genetic,MCMC and particle swarm optimization algorithms[J].Atmospheric Environment,2017,157:27-37.
[8]蒋彦,滕国伟,徐正蓺,等.基于混合差分进化-模式搜索算法的泄漏源源强及位置反算方法[J].工业控制计算机,2019,32(12):66-68.
JIANG Yan,TENG Guowei,XU Zhengyi,et al.Inverse calculation method of leakage source strength and location based on hybrid differential evolution-pattern search algorithm [J].Industrial Control Computer,2019,32(12):66-68.
[9]何宁,徐波,孙恩吉.基于改进遗传-单纯形混合算法的危险气体泄漏溯源分析[J].中国安全生产科学技术,2017,13(11):54-58.
HE Ning,XU Bo,SUN Enji.Analysis on leakage tracing of dangerous gas based on hybrid algorithm of improved genetic algorithm and simplex method [J].Journal of Safety Science and Technology,2017,13(11):54-58.
[10]张建文,王煜薇,郑小平,等.基于混合遗传-Nelder Mead单纯形算法的源强及位置反算[J].系统工程理论与实践,2011,31(8):1581-1587.
ZHANG Jianwen,WANG Yuwei,ZHENG Xiaoping,et al.Inverse source strength and position calculation based on hybrid genetical-Nelder Mead simplex algorithm [J].Systems Engineering Theory and Practice,2011,31(8):1581-1587.
[11]KRISHNANAND K N,GHOSE D.Detection of multiple source locations using aglowworm metaphor with applications to collective robotics[C]//2005 IEEE Swarm Intelligence Symposium,IEEE,2005:84-91.
[12]KRISHNANAND K N,GHOSE D.Glowworm swarm based optimization algorithm for multimodal functions with collective robotics applications[J].Multiagentand Grid Systems,2006,2(3):209-222.
[13]BALASUBRAMANIAN K,ANANTHAMOORTHY N P.Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis[J].Neural Computing and Applications,2021,33:7679-7660.
[14]QU L D,HE D X,WU J Z.Hybrid coevolutionary glowworm swarm optimization algorithm with simplex search method for system of nonlinear equations[J].Journal of Information and Computational Science,2011,8(13):2693-2701.
[15]MARINAKI M,MARINAKIS Y.A Glowworm Swarm Optimization algorithm for the Vehicle Routing Problem with Stochastic Demands[J].Expert Systems with Applications,2016,46:145-163.
[16]SINGH A,DEEP K.New variants of glowworm swarm optimization based on step size[J].International Journal of System Assurance Engineering and Management,2015,6(3):286-296.