河海大学学报（自然科学版）2026，Vol.54Issue(1)：36-42,7.DOI:10.3876/j.issn.1000-1980.2026.01.005
基于禁忌搜索与粒子群优化算法的地下水污染源信息辨识
Groundwater contaminant source information identification based on tabu search and particle swarm optimization algorithm
摘要
Abstract
To accurately identify key information such as the groundwater contaminant source location and contaminant release process,the simulation-optimization theoretical framework was used.The groundwater inversion problem that requires simultaneous identification of information from multiple contaminant sources was generalized as a mixed-variable optimization problem involving discrete and continuous variables.A two-stage combinatorial optimization algorithm based on tabu search and particle swarm optimization(TS-PSO)algorithm was proposed.The algorithm applied the tabu search method to locate contaminant sources and then used the particle swarm optimization algorithm to determine the contaminant release intensity and process.The verification results of the numerical examples show that compared with traditional evolutionary algorithms(GA and PSO algorithm),TS-PSO algorithm has higher solution efficiency,more reliable calculation results,and higher calculation accuracy.For the inversion problem of multiple contaminant sources,TS-PSO algorithm can quickly and effectively identify the location of contaminant sources,as well as the release intensity and release process of contaminants.关键词
地下水污染/信息辨识/优化算法/禁忌搜索/粒子群优化算法Key words
groundwater contaminant/information identification/optimization algorithm/tabu search/particle swarm optimization algorithm引用本文复制引用
徐津,伍梦天,李凯,王玲玲,朱海,王明辉..基于禁忌搜索与粒子群优化算法的地下水污染源信息辨识[J].河海大学学报（自然科学版）,2026,54(1):36-42,7.基金项目
国家重点研发计划项目(2022YFC3202600) （2022YFC3202600）
国家自然科学基金项目(52479062,52309086) （52479062,52309086）
江苏省科学技术基础研究计划青年基金项目(BK20241516) （BK20241516）
中央高校基本科研业务费专项资金项目(B240201185) （B240201185）
龙溪河流域洪水与环境风险预警系统开发咨询服务项目(3704-PRC) （3704-PRC）
