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基于INPGA的地下水污染治理多目标优化管理模型:Ⅰ——理论方法与算例验证
引用本文:吴剑锋,彭伟,钱家忠,吴吉春.基于INPGA的地下水污染治理多目标优化管理模型:Ⅰ——理论方法与算例验证[J].地质论评,2011,57(2):278-284.
作者姓名:吴剑锋  彭伟  钱家忠  吴吉春
作者单位:1. 南京大学地球科学与工程学院水科学系,南京,210093
2. 合肥工业大学资源与环境工程学院,合肥,230009
基金项目:本文为国家重点基础研究发展计划项目(编号2010CB428803)和国家自然科学基金资助项目(编号41072175、41030746和40725010)的成果。
摘    要:基于小生境技术的Pareto遗传算法(NPGA)是一种求解多目标问题的智能搜索方法,适用于优化多种非线性、不连续等复杂多目标问题.但该算法存在局部早熟收敛和收敛速度慢两个不足,在求解Pareto前沿上效果不佳.本文在NPGA的基础上,提出了改进NPGA方法(INPGA),通过Pareto解集过滤器、精英个体保留策略、邻...

关 键 词:地下水污染治理  模拟优化方法  多目标优化  小生境Pareto遗传算法  MPI并行计算

INPGA based Multiobjective Management Model for Optimal Design of Groundwater Remediation System: I. Methodology and Its Experimental Validation
WU Jianfeng,PENG Wei,QIAN Jiazhong,WU Jichun.INPGA based Multiobjective Management Model for Optimal Design of Groundwater Remediation System: I. Methodology and Its Experimental Validation[J].Geological Review,2011,57(2):278-284.
Authors:WU Jianfeng  PENG Wei  QIAN Jiazhong  WU Jichun
Affiliation:WU Jianfeng1),PENG Wei1),QIAN Jiazhong2),WU Jichun1) 1) Department of Hydrosciences,School of Earth Sciences and Engineering,Nanjing University,Nanjing,210093,2) School of Natural Resources and Environmental Engineering,Hefei University of Technology,Hefei,230009
Abstract:Niched Pareto genetic algorithm (NPGA) is a superior method to solve the multi-objective optimization problems because it is applicable to a large range of variable problems,and can search nonlinear and discontinuous space without need for continuity and second-order partial differential operators. However,it is inefficient in finding the Pareto optimal solutions due to two shortcomings:premature convergence to local area and low convergence speed. In this paper,an improved NPGA (INPGA) is developed to prom...
Keywords:groundwater remediation  simulation-optimization approach  multi-objective optimization  niched Pareto genetic algorithm  MPI parallel computation  
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