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A Hybrid Multi-Objective Evolutionary Algorithm for Optimal Groundwater Management under Variable Density Conditions

YANG Yun WU Jianfeng SUN Xiaomin LIN Jin WU Jichun

地质学报（英文版）2012，Vol.86Issue(1)：246-255,10.

A Hybrid Multi-Objective Evolutionary Algorithm for Optimal Groundwater Management under Variable Density Conditions

YANG Yun ¹WU Jianfeng ¹SUN Xiaomin ¹LIN Jin ²WU Jichun¹

作者信息

1. Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing,Jiangsu 210093, China
2. Nanfing Hydraulic Research Institute, Nanfing, Jiangsu 210029, China
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摘要

关键词

seawater intrusion/multi-objective optimization/niched Pareto tabu search combined with genetic algorithm/niched Pareto tabu search/genetic algorithm

Key words

seawater intrusion/multi-objective optimization/niched Pareto tabu search combined with genetic algorithm/niched Pareto tabu search/genetic algorithm

引用本文复制引用

YANG Yun,WU Jianfeng,SUN Xiaomin,LIN Jin,WU Jichun..A Hybrid Multi-Objective Evolutionary Algorithm for Optimal Groundwater Management under Variable Density Conditions[J].地质学报（英文版）,2012,86(1):246-255,10.

基金项目

This study is jointly funded by the National Basic Research Program of China (the 973 Program,No.2010CB428803) and the National Natural Science Foundation of China (Nos.41072175,40902069 and 40725010). （the 973 Program,No.2010CB428803）

地质学报（英文版）

OACSCD

ISSN：1000-9515

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