Improved urban inland inundation vehicle risk avoiding path genetic planning method

The invention provides an improved urban inland inundation vehicle risk avoiding path genetic planning method. The method comprises the following steps: carrying out improved binary coding on chromosomes according to an uncertain path of a vehicle; performing population initialization which consider...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: TAN XICHENG, MENG ANDI, HUANG MENG, RAO LUOWEN, LEE TAN-HO, ZHANG BIAOBING, HUANG XINGYI, CHEN YUMIN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator TAN XICHENG
MENG ANDI
HUANG MENG
RAO LUOWEN
LEE TAN-HO
ZHANG BIAOBING
HUANG XINGYI
CHEN YUMIN
description The invention provides an improved urban inland inundation vehicle risk avoiding path genetic planning method. The method comprises the following steps: carrying out improved binary coding on chromosomes according to an uncertain path of a vehicle; performing population initialization which considers the optimal path of the vehicle and meets the willingness of the victim; fitness evaluation value evaluation operation suitable for the urban waterlogging risk is carried out, improved selection operation based on fitness evaluation value linear change is carried out, and an optimal chromosome is selected for crossover mutation operation; carrying out optimized crossover operation suitable for improving binary coding, and fully expanding the search space of the improved genetic algorithm; carrying out basic bit mutation operation to ensure that the improved genetic algorithm has local search capability; the improved genetic algorithm is integrally optimized by adopting a special mechanism, so that the improved ge
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114742329A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114742329A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114742329A3</originalsourceid><addsrcrecordid>eNqNi0sKwjAQQLNxIeodxgO46AfEZSmKbtzovozJ2Aymk9CkOb8teABXDx7vrdXjNoTRZzIwjS8UYHEoZsYkBhN7gUyWtSMYOX4As2fD0kPAZKEnocQawvzIYgdK1putWr3RRdr9uFH7y_nZXg8UfEcxoF6-rr0XRX2sy6o8NdU_zRePpzjX</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Improved urban inland inundation vehicle risk avoiding path genetic planning method</title><source>esp@cenet</source><creator>TAN XICHENG ; MENG ANDI ; HUANG MENG ; RAO LUOWEN ; LEE TAN-HO ; ZHANG BIAOBING ; HUANG XINGYI ; CHEN YUMIN</creator><creatorcontrib>TAN XICHENG ; MENG ANDI ; HUANG MENG ; RAO LUOWEN ; LEE TAN-HO ; ZHANG BIAOBING ; HUANG XINGYI ; CHEN YUMIN</creatorcontrib><description>The invention provides an improved urban inland inundation vehicle risk avoiding path genetic planning method. The method comprises the following steps: carrying out improved binary coding on chromosomes according to an uncertain path of a vehicle; performing population initialization which considers the optimal path of the vehicle and meets the willingness of the victim; fitness evaluation value evaluation operation suitable for the urban waterlogging risk is carried out, improved selection operation based on fitness evaluation value linear change is carried out, and an optimal chromosome is selected for crossover mutation operation; carrying out optimized crossover operation suitable for improving binary coding, and fully expanding the search space of the improved genetic algorithm; carrying out basic bit mutation operation to ensure that the improved genetic algorithm has local search capability; the improved genetic algorithm is integrally optimized by adopting a special mechanism, so that the improved ge</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TESTING</subject><creationdate>2022</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&amp;date=20220712&amp;DB=EPODOC&amp;CC=CN&amp;NR=114742329A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220712&amp;DB=EPODOC&amp;CC=CN&amp;NR=114742329A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TAN XICHENG</creatorcontrib><creatorcontrib>MENG ANDI</creatorcontrib><creatorcontrib>HUANG MENG</creatorcontrib><creatorcontrib>RAO LUOWEN</creatorcontrib><creatorcontrib>LEE TAN-HO</creatorcontrib><creatorcontrib>ZHANG BIAOBING</creatorcontrib><creatorcontrib>HUANG XINGYI</creatorcontrib><creatorcontrib>CHEN YUMIN</creatorcontrib><title>Improved urban inland inundation vehicle risk avoiding path genetic planning method</title><description>The invention provides an improved urban inland inundation vehicle risk avoiding path genetic planning method. The method comprises the following steps: carrying out improved binary coding on chromosomes according to an uncertain path of a vehicle; performing population initialization which considers the optimal path of the vehicle and meets the willingness of the victim; fitness evaluation value evaluation operation suitable for the urban waterlogging risk is carried out, improved selection operation based on fitness evaluation value linear change is carried out, and an optimal chromosome is selected for crossover mutation operation; carrying out optimized crossover operation suitable for improving binary coding, and fully expanding the search space of the improved genetic algorithm; carrying out basic bit mutation operation to ensure that the improved genetic algorithm has local search capability; the improved genetic algorithm is integrally optimized by adopting a special mechanism, so that the improved ge</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0sKwjAQQLNxIeodxgO46AfEZSmKbtzovozJ2Aymk9CkOb8teABXDx7vrdXjNoTRZzIwjS8UYHEoZsYkBhN7gUyWtSMYOX4As2fD0kPAZKEnocQawvzIYgdK1putWr3RRdr9uFH7y_nZXg8UfEcxoF6-rr0XRX2sy6o8NdU_zRePpzjX</recordid><startdate>20220712</startdate><enddate>20220712</enddate><creator>TAN XICHENG</creator><creator>MENG ANDI</creator><creator>HUANG MENG</creator><creator>RAO LUOWEN</creator><creator>LEE TAN-HO</creator><creator>ZHANG BIAOBING</creator><creator>HUANG XINGYI</creator><creator>CHEN YUMIN</creator><scope>EVB</scope></search><sort><creationdate>20220712</creationdate><title>Improved urban inland inundation vehicle risk avoiding path genetic planning method</title><author>TAN XICHENG ; MENG ANDI ; HUANG MENG ; RAO LUOWEN ; LEE TAN-HO ; ZHANG BIAOBING ; HUANG XINGYI ; CHEN YUMIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114742329A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>TAN XICHENG</creatorcontrib><creatorcontrib>MENG ANDI</creatorcontrib><creatorcontrib>HUANG MENG</creatorcontrib><creatorcontrib>RAO LUOWEN</creatorcontrib><creatorcontrib>LEE TAN-HO</creatorcontrib><creatorcontrib>ZHANG BIAOBING</creatorcontrib><creatorcontrib>HUANG XINGYI</creatorcontrib><creatorcontrib>CHEN YUMIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TAN XICHENG</au><au>MENG ANDI</au><au>HUANG MENG</au><au>RAO LUOWEN</au><au>LEE TAN-HO</au><au>ZHANG BIAOBING</au><au>HUANG XINGYI</au><au>CHEN YUMIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Improved urban inland inundation vehicle risk avoiding path genetic planning method</title><date>2022-07-12</date><risdate>2022</risdate><abstract>The invention provides an improved urban inland inundation vehicle risk avoiding path genetic planning method. The method comprises the following steps: carrying out improved binary coding on chromosomes according to an uncertain path of a vehicle; performing population initialization which considers the optimal path of the vehicle and meets the willingness of the victim; fitness evaluation value evaluation operation suitable for the urban waterlogging risk is carried out, improved selection operation based on fitness evaluation value linear change is carried out, and an optimal chromosome is selected for crossover mutation operation; carrying out optimized crossover operation suitable for improving binary coding, and fully expanding the search space of the improved genetic algorithm; carrying out basic bit mutation operation to ensure that the improved genetic algorithm has local search capability; the improved genetic algorithm is integrally optimized by adopting a special mechanism, so that the improved ge</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114742329A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
SURVEYING
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TESTING
title Improved urban inland inundation vehicle risk avoiding path genetic planning method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T17%3A08%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=TAN%20XICHENG&rft.date=2022-07-12&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114742329A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true