Abstract:We introduce and describe the bionic principle, core formulae and optimization characteristics of six novel swarm intelligence optimization algorithms (gray wolf optimization, whale optimization algorithm, grasshopper optimization algorithm, sparrow search algorithm, ant lion optimization and dragonfly algorithm). Based on the classical arrival time difference model, we design a new mathematical model of micro-seismic source inversion, and use the forward modeling and inversion data of simulated mine micro-seismic sources to compare and analyze the performance differences of six methods. We test the effectiveness and reliability of these six novel swarm intelligence optimization algorithms in micro-seismic source localization from multiple perspectives, such as accuracy, convergence speed and stability, by combining the actual mine manual blasting data with six statistical indicators.
PANG Cong,MA Wugang,LI Chawei et al. Research on Micro-Seismic Source Localization Using Novel Swarm Intelligence Optimization Algorithms[J]. jgg, 2023, 43(7): 708-714.