Public facility site selection method based on simulated annealing and Monte Carlo method
The invention discloses a public facility site selection method based on simulated annealing and a Monte Carlo method, and the method comprises the following steps: carrying out the discretization of geographic data information, and obtaining regional grid data; inputting point location information...
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| creator | HU CHENGQI YU LEI WEI XUEBIN LI XIAO'ER FANG MENGYAO |
| description | The invention discloses a public facility site selection method based on simulated annealing and a Monte Carlo method, and the method comprises the following steps: carrying out the discretization of geographic data information, and obtaining regional grid data; inputting point location information of dynamic population data points, and performing population weighted assignment; delimiting a search range according to a public facility coverage range and a planning area, and performing gridding traversal search to obtain candidate site selection points; calculating an optimal candidate point set from the candidate site selection points by using a Monte Carlo method; and optimizing the optimal candidate point set by using a simulated annealing method to obtain a population distance weighted sum minimum candidate point result set. According to the invention, a site selection scheme optimized as much as possible is generated while falling into a local optimal solution is avoided as much as possible, and site sele |
| format | Patent |
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According to the invention, a site selection scheme optimized as much as possible is generated while falling into a local optimal solution is avoided as much as possible, and site sele</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231010&DB=EPODOC&CC=CN&NR=116862737A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231010&DB=EPODOC&CC=CN&NR=116862737A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HU CHENGQI</creatorcontrib><creatorcontrib>YU LEI</creatorcontrib><creatorcontrib>WEI XUEBIN</creatorcontrib><creatorcontrib>LI XIAO'ER</creatorcontrib><creatorcontrib>FANG MENGYAO</creatorcontrib><title>Public facility site selection method based on simulated annealing and Monte Carlo method</title><description>The invention discloses a public facility site selection method based on simulated annealing and a Monte Carlo method, and the method comprises the following steps: carrying out the discretization of geographic data information, and obtaining regional grid data; inputting point location information of dynamic population data points, and performing population weighted assignment; delimiting a search range according to a public facility coverage range and a planning area, and performing gridding traversal search to obtain candidate site selection points; calculating an optimal candidate point set from the candidate site selection points by using a Monte Carlo method; and optimizing the optimal candidate point set by using a simulated annealing method to obtain a population distance weighted sum minimum candidate point result set. According to the invention, a site selection scheme optimized as much as possible is generated while falling into a local optimal solution is avoided as much as possible, and site sele</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOwjAMRbMwIOAO5gAMpVLLiiIQC4iBhalyUxcsuU6F04Hbk6EHYPr_Se8t3fM-tcIBegwsnL5gnAiMhELiqDBQescOWjTqILPxMAmmDKhKKKyv_Dq4Rs2dx4_EuVm7RY9itJl35bbn08NfdjTGhmzEQEqp8beiqA7Vvi7rY_mP8wPOgTp7</recordid><startdate>20231010</startdate><enddate>20231010</enddate><creator>HU CHENGQI</creator><creator>YU LEI</creator><creator>WEI XUEBIN</creator><creator>LI XIAO'ER</creator><creator>FANG MENGYAO</creator><scope>EVB</scope></search><sort><creationdate>20231010</creationdate><title>Public facility site selection method based on simulated annealing and Monte Carlo method</title><author>HU CHENGQI ; YU LEI ; WEI XUEBIN ; LI XIAO'ER ; FANG MENGYAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116862737A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HU CHENGQI</creatorcontrib><creatorcontrib>YU LEI</creatorcontrib><creatorcontrib>WEI XUEBIN</creatorcontrib><creatorcontrib>LI XIAO'ER</creatorcontrib><creatorcontrib>FANG MENGYAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HU CHENGQI</au><au>YU LEI</au><au>WEI XUEBIN</au><au>LI XIAO'ER</au><au>FANG MENGYAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Public facility site selection method based on simulated annealing and Monte Carlo method</title><date>2023-10-10</date><risdate>2023</risdate><abstract>The invention discloses a public facility site selection method based on simulated annealing and a Monte Carlo method, and the method comprises the following steps: carrying out the discretization of geographic data information, and obtaining regional grid data; inputting point location information of dynamic population data points, and performing population weighted assignment; delimiting a search range according to a public facility coverage range and a planning area, and performing gridding traversal search to obtain candidate site selection points; calculating an optimal candidate point set from the candidate site selection points by using a Monte Carlo method; and optimizing the optimal candidate point set by using a simulated annealing method to obtain a population distance weighted sum minimum candidate point result set. According to the invention, a site selection scheme optimized as much as possible is generated while falling into a local optimal solution is avoided as much as possible, and site sele</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Public facility site selection method based on simulated annealing and Monte Carlo method |
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