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  • Title: ➤  Hybrid Of Adaptive Response Surface Methodology And Genetic Algorithm Monte Carlo Optimization Method And Its Application In The Design Of Moderator-Collimator For Accelerator Based Thermal Neutron Radiography
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  • Internet Archive ID: ChinaXiv-202503.00074V1

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<div class="hd"> <h1> Hybrid of Adaptive Response Surface methodology and Genetic Algorithm Monte Carlo Optimization method and Its Application in the Design of Moderator-Collimator for Accelerator based Thermal Neutron Radiography </h1> <div class="flex" style="border:0px;padding-bottom:0px;"> </div> <div class="bd" style="border-bottom:1px solid #ced6e0;"> <ul style="margin-top:0px;"> <li> <b> 作者： </b> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Yang,%20Mr.%20Chenxiao" style="color:#3060cc;" rel="ugc nofollow"> Yang, Mr. Chenxiao </a> <sup style="margin-left:0px;"> 1,2 </sup> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Chen,%20Dr.%20Size" style="color:#3060cc;" rel="ugc nofollow"> Chen, Dr. Size </a> <sup style="margin-left:0px;"> 1,2 </sup> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Zhang,%20Dr.%20Lianxin" style="color:#3060cc;" rel="ugc nofollow"> Zhang, Dr. Lianxin </a> <sup style="margin-left:0px;"> 2 </sup> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Peng,%20Mr.%20Chuan" style="color:#3060cc;" rel="ugc nofollow"> Peng, Mr. Chuan </a> <sup style="margin-left:0px;"> 2,4 </sup> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Xiao,%20Mr.%20Dan" style="color:#3060cc;" rel="ugc nofollow"> Xiao, Mr. Dan </a> <sup style="margin-left:0px;"> 3 </sup> </li> <li> <b> 作者单位： </b> <div style="margin-left:70px;margin-top:-26px;"> <div> 1. <a href="https://chinaxiv.org/user/search.htm?field=affication&amp;value=Anhui%20University" style="color:#3060cc;" rel="ugc nofollow"> Anhui University </a> </div> <div> 2. <a href="https://chinaxiv.org/user/search.htm?field=affication&amp;value=Hefei%20Institutes%20of%20Physical%20Science%20Chinese%20Academy%20of%20Sciences" style="color:#3060cc;" rel="ugc nofollow"> Hefei Institutes of Physical Science Chinese Academy of Sciences </a> </div> <div> 3. <a href="https://chinaxiv.org/user/search.htm?field=affication&amp;value=Hefei%20Institutes%20of%20Physical%20Science%20Chinese%20Academy%20of%20Sciences" style="color:#3060cc;" rel="ugc nofollow"> Hefei Institutes of Physical Science Chinese Academy of Sciences </a> </div> <div> 4. <a href="https://chinaxiv.org/user/search.htm?field=affication&amp;value=University%20of%20Science%20and%20Technology%20of%20China" style="color:#3060cc;" rel="ugc nofollow"> University of Science and Technology of China </a> </div> </div> </li> <li> <b> 通讯作者： </b> <a href="https://chinaxiv.org/user/search.htm?field=author&amp;value=Chen,%20Dr.%20Size" style="color:#bb3536;" rel="ugc nofollow"> Chen, Dr. Size </a> Email:[email protected] </li> <li> <b> 提交时间： </b> 2025-03-09 14:47:29 </li> </ul> </div> <div class="bd" style="margin-top:15px;"> <div style="line-height:24px;color:#333;"> <b> 摘要: </b> A new Monte Carlo (MC) neutronics optimization method named Hybrid of Adaptive Response Surface methodology and Genetic Algorithm Monte Carlo Optimization (HRG-MCO) is proposed to address the strong empirical dependence and low efficiency of global multi-parameter optimization in traditional neutronics design. HRG-MCO integrates the advantages of Response Surface Methodology (RSM) and Genetic Algorithm (GA). Specifically, neutron MC simulation results are iteratively utilized to adaptively construct an RSM model, ensuring the required accuracy. Subsequently, GA is employed to perform multi-parameter optimization based on the constructed RSM model, enabling the rapid determination of optimal design parameters. These optimized parameters are then fed back into the MC simulation model to derive the final design values. Comparative analysis with the traditional enumeration method and GA alone demonstrates the superior optimization efficiency of the proposed approach. To further validate its effectiveness, the method is applied to the optimization of a moderator-collimator system for a thermal neutron radiography system based on an accelerator. Two optimization tasks are performed: (1) determining the optimal efficiency under different source neutron energies and (2) optimization of thermal neutron photon yield ratio. The results highlight the efficiency and applicability of HRG-MCO in neutronics optimization design. </div> <div class="brdge"> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=Neutronics%20Design%20Optimization" rel="ugc nofollow"> Neutronics Design Optimization </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=Monte%20Carlo%20simulation" rel="ugc nofollow"> Monte Carlo simulation </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=Response%20Surface%20Methodology" rel="ugc nofollow"> Response Surface Methodology </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=Genetic%20Algorithm" rel="ugc nofollow"> Genetic Algorithm </a> </span> <span class="spankwd"> <a href="https://chinaxiv.org/user/search.htm?field=keywords&amp;value=Thermal%20Neutron%20Radiography" rel="ugc nofollow"> Thermal Neutron Radiography </a> </span> </div> <ul> <li> <b> 来自： </b> Chen, Dr. Size </li> <li> <b> 分类： </b> <a href="https://chinaxiv.org/user/search.htm?field=domain&amp;value=2" rel="ugc nofollow"> 物理学 </a> &gt;&gt; <a href="https://chinaxiv.org/user/search.htm?field=subject&amp;value=40" rel="ugc nofollow"> 核物理学 </a> </li> <li> <b> 备注: </b> <a rel="ugc nofollow"> 已向《Nuclear Science and Techniques》投稿 </a> </li> <li> <b> 引用： </b> <a href="https://chinaxiv.org/abs/202503.00074" rel="ugc nofollow"> <font color="#0000FF"> ChinaXiv:202503.00074 </font> </a> (或此版本 <a href="https://chinaxiv.org/abs/202503.00074v1" rel="ugc nofollow"> <font color="#0000FF"> ChinaXiv:202503.00074V1 </font> </a> ) <br /> <a href="http://dx.doi.org/10.12074/202503.00074" style="color:#0000FF;margin-left:45px;" rel="ugc nofollow"> <font color="#0000FF"> DOI:10.12074/202503.00074 </font> </a> <br /> <a href="https://www.cstr.cn/CSTR:32003.36.ChinaXiv.202503.00074" style="margin-left:45px;" rel="ugc nofollow"> <font color="#0000FF"> CSTR:32003.36.ChinaXiv.202503.00074 </font> </a> </li> <li> <b> 推荐引用方式： </b> <span> Yang, Mr. Chenxiao,Chen, Dr. Size,Zhang, Dr. Lianxin,Peng, Mr. Chuan,Xiao, Mr. Dan.Hybrid of Adaptive Response Surface methodology and Genetic Algorithm Monte Carlo Optimization method and Its Application in the Design of Moderator-Collimator for Accelerator based Thermal Neutron Radiography.中国科学院科技论文预发布平台.[DOI:10.12074/202503.00074] </span> </li> </ul> </div> <div class="ft"> <h4> <span> 版本历史 </span> </h4> <table style="font-size:14px;"> <tr> <td> <b> [V1] </b> </td> <td> 2025-03-09 14:47:29 </td> <td> ChinaXiv:202503.00074V1 </td> <td> <a class="btn" href="https://chinaxiv.org/user/download.htm?uuid=93145c28-4f65-43d0-9092-c4926cf16c68" rel="ugc nofollow"> 下载全文 </a> </td> </tr> </table> </div> </div>

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