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双种群人工蜂群算法及其在MT和重力联合反演中的应用 被引量:5

Dual-population artificial bee colony algorithm and its application in joint inversion of magnetotelluric and gravity data
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摘要 基于非线性优化算法的联合反演具有全局寻优、无需求偏导数、便于先验信息融入等优点。人工蜂群(ABC)算法是一种较新颖的非线性优化算法,具有独特的角色转换机制,在求解优化问题上有较强的寻优性能,但该算法也存在着搜索效率不高、局部搜索能力弱等问题。基于双种群架构可有效提高优化算法全局寻优能力。基于此,笔者提出一种双种群架构ABC算法,将交叉变异操作和最优解邻域搜索融入不同种群,选择典型的测试函数验证了改进ABC算法的有效性,并将其应用于大地电磁测深(MT)和重力数据的联合反演。模型试验和实测数据处理结果表明,双种群ABC算法具有较高的寻优能力和一定的实用性。 Joint inversion based on a non-linear optimization algorithm has the advantages of global optimization,no need to calculate partial derivatives,and convenience for the integration of prior information.As a novel non-linear optimization algorithm,the artificial bee colony(ABC)algorithm has a unique role transformation mechanism and strong performance in solving optimization problems.However,it also has some shortcomings such as low search efficiency and weak local search ability.Considering that a dual-population framework is capable of improving the global optimization performance of an optimization algorithm,we propose an ABC algorithm with a dual-population framework,in which crossover and mutation operations and neighborhood search for the optimal solution are integrated into different populations.Typical test functions are selected to verify the effectiveness of the improved ABC algorithm.Besides,the algorithm is applied into the joint inversion of magnetotelluric(MT)and gravity data.Model tests and real data feedback show that the dual-population ABC algorithm has high global optimization capability and certain practicability.
作者 曾志文 陈晓 郭冬 邓居智 张志勇 陈辉 ZENG Zhiwen;CHEN Xiao;GUO Dong;DENG Juzhi;ZHANG Zhiyong;CHEN Hui(State Key Laboratory of Nuclear Resources and Environment,East China University of Technology,Nanchang,Jiangxi 330013,China;School of Geophysics and Measurement-control Technology,East China University of Technology,Nanchang Jiangxi 330013,China;Geological Exploration Technology Institute of Anhui Province,Hefei,Anhui 230041,China)
出处 《石油地球物理勘探》 EI CSCD 北大核心 2021年第6期1400-1408,1447,I0009,共11页 Oil Geophysical Prospecting
基金 国家自然科学基金项目“结合图像引导算法的宽范围物性和Gramian矩阵混合约束联合反演研究”(42064008) “基于线性相关约束的地球物理联合反演研究”(41604104) “江西相山火山盆地及邻区穿地壳三维结构及其铀成矿动力学意义”(42130811) “浅地表可控场源电磁法多参数勘探研究”(42164008) “地面频率电磁法三维正反演研究及统一平台建设”(41864004) 安徽省公益性地质工作项目“南陵—宣城矿集区三维综合地球物理探测”(2018-g-1-4)联合资助。
关键词 人工蜂群 联合反演 双种群 大地电磁测深 重力 artificial bee colony joint inversion dual population magnetotelluric gravity
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