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- 2016-01-03
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Description: According to the vehicle CROSS—country path planning problem，a multi—strategy ant colony algorithm with the minimum traveling time as the goal was designed．First of all，the synthesis influence of
the terrain slope and surface properties was analyzed for vehicle path planning and the table Tabu constructed by stacking constraints of slope and roughness．Secondly，on the one hand，the adaptive adj ustment
strategy is imported to improve the effectiveness of the searching paths．On the other hand，the bidirectional search strategy was designed in order to increase ants’collaboration and the probability of the
searching successful paths．In addition，the sub—paths multi—segment crossover strategy was also proposed to improve the global searching capability and accelerate the convergence speed．The improved algorithm
in detail steps was described，and the value of some parameters are optimized．Finally，the performance indicators，convergence algebra and simulation results between the basic algorit
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多策略蚁群算法求解越野路径规划.pdf
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