【摘要】 蚁群算法是模拟蚂蚁群体觅食行为的仿真优化算法,在旅行商等组合优化问题中展现出优异的性能,其在磁测资料反演解释中的应用却很少。基于磁测资料反演解释的特点,本文改善了目标函数值与信息素的映射机制,总结出节点划分策略的连续域多变量目标函数优化蚁群算法。并对磁测资料的模型参数反演进行理论模拟,最后应用于澳大利亚南部Iron Mount矿区低空航磁资料的条带状铁矿构建勘查,取得良好应用效果。更多还原

【Abstract】 Simulating the behavior of ant colony searching for food,the Ant Colony Algorithm is an emulated and optimized algorithm,which demonstrates excellent performance in such combinatorial optimization problems as Traveling Salesman.However,it has not been widely applied to the inversion and interpretation of magnetic data.Based on the characteristics of magnetic data inversion and interpretation,this paper improves the mapping mechanism from objective function value to pheromone and summarizes Ant Colony Algorithm optimizing for continuous and multiple objective function using nodes partition strategy.Satisfactory results were achieved when Ant Colony Algorithm was simulated to inverse the parameters in the synthetic model experiment of magnetic data and was applied to prospect the banded iron formation according to low-altitude aeromagnetic data surveyed at Iron Mount mining area,southern Australia.更多还原