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地质论评  2011 

基于INPGA的地下水污染治理多目标优化管理模型:Ⅱ――实例应用

Keywords: 麻省军事保护区,地下水污染治理,多目标优化,小生境Pareto遗传算法,MPI并行计算

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Abstract:

简单算例研究表明改进的小生境Pareto遗传算法(INPGA)用于求解地下水系统的多目标优化管理模型时,求解过程简单,计算速度快,而且得到的Pareto解集跨度更为合理。本文以美国麻省军事保护区(MassachusettsMilitaryReservation,MMR)为实例,通过建立研究区复杂地下水污染治理的多目标优化管理模型,进一步对比NPGA和INPGA的求解结果,同时详细讨论和分析适应值库操作和MPI并行技术在实例中的应用效果。求解结果表明MPI并行技术在实例应用中能明显提高加速度和计算效率,而且同样能提供足够的选择方案供决策者权衡选择,由此证明基于INPGA的地下水污染治理多目标优化模型具有很好的应用前景。

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