CAJ | 학술논문

噪声遗传算法(noisy genetic algorithm,NGA)是近年来引入到地下水领域处理参数空间变异性的新方法.本文针对渗透系数空间变异程度对基于 NGA策略的进化算法求解效果影响展开研究,探索 NGA策略适用范围.研究结果表明：当渗透系数对数方差(σ2lnK )小于1.0时,采用 NGA取样策略,提高算法计算效率的同时不会影响优化结果可靠性；当σ2lnK增加到2.0甚至3.0、5.0时,算法优化结果不再具有高可靠性.通过增加NGA最大取样数可以提高算法求解精度,有效降低优化结果的不确定性.但随着最大取样数的增加,优化结果精度和可靠性将不再有明显提高.此时需寻求其他方法,如增加资金投入,获取渗透系数条件点,降低渗透系数场不确定性,从而获得更加准确可靠的优化方案.
조성유전산법(noisy genetic algorithm,NGA)시근년래인입도지하수영역처리삼수공간변이성적신방법.본문침대삼투계수공간변이정도대기우 NGA책략적진화산법구해효과영향전개연구,탐색 NGA책략괄용범위.연구결과표명：당삼투계수대수방차(σ2lnK )소우1.0시,채용 NGA취양책략,제고산법계산효솔적동시불회영향우화결과가고성；당σ2lnK증가도2.0심지3.0、5.0시,산법우화결과불재구유고가고성.통과증가NGA최대취양수가이제고산법구해정도,유효강저우화결과적불학정성.단수착최대취양수적증가,우화결과정도화가고성장불재유명현제고.차시수심구기타방법,여증가자금투입,획취삼투계수조건점,강저삼투계수장불학정성,종이획득경가준학가고적우화방안.
The noisy genetic algorithm (NGA)is a new approach to manage the spatial variation of parameters in recent years.In this study,in order to explore the application range of NGA strategy,it commenced research to study the performance of NGA strategy under different spatial variation of hydraulic conductivity.The study results show that the optimization results of NGA strategy not only have high reliability but also have high computational efficiency whenσ2lnK little than 1.0.However,whenσ2lnK increased to 2.0,or even to 3.0,5.0,the optimization results of NGA strategy no longer have high reliability.In this case,increasing the maximum sampling number of NGA can improve the accuracy of Pareto optimal solutions and reduce the uncertainty of the optimization results.However, when the maximum sampling number of NGA reach a certain extent,the accuracy and reliability of the optimization results will not significantly increase.To further improve the accuracy of the optimization results,it needs to seek other method to describe the spatial variation of hydraulic conductivity,such as increasing remediation cost to get more hydraulic conductivity condition point to reduce the uncertainty of the hydraulic conductivity.Then,more accurate and reliable optimization strategy can be found.