Localization of gas source in three-dimensional space based on improved fireworks optimization algorithm
In order to investigate the problems of gas source localization and back-calculation of source intensity in the three-dimensional space,an improved fireworks explosion algorithm(GWOFA)was proposed.The localization process is divided into two stages:the global localization and the local localization.The global localization stage combines the grey wolf optimiza-tion(GWO)algorithm with the Lévy flight for global exploration in three-dimensional space.The local localization process re-fers to the further development process based on the results of global localization,which is achieved through the introduction of boundary conditions for selecting the explosion radius and a more efficient selection strategy through an improved fireworks optimization algorithm.The results show that the algorithm proposed in this paper has higher accuracy compared to support vector machine regression model(LinearSVR),GWO algorithm,and particle swarm algorithm,as well as higher stability and lower randomness compared to GWO algorithm and particle swarm algorithm.In terms of gas source localization,the overall performance of this algorithm is superior to LinearSVR,GWO algorithm,and particle swarm algorithm.The results can provide new ideas and methods for solving the problems of gas source localization and related parameters estimation in the three-di-mensional spaces.
gas source localizationfireworks algorithmLévy flightgrey wolf optimization algorithm
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