{"id":"https://openalex.org/W2559537214","doi":"https://doi.org/10.1109/cec.2016.7744079","title":"Minimize the average mean first passage time of random walk in complex networks by genetic algorithm","display_name":"Minimize the average mean first passage time of random walk in complex networks by genetic algorithm","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2559537214","doi":"https://doi.org/10.1109/cec.2016.7744079","mag":"2559537214"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repository.ust.hk/ir/bitstream/1783.1-79795/1/MinimizetheaveragemftbyGAWCCIYuSzeto2016.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100397989","display_name":"Yue Yu","orcid":"https://orcid.org/0000-0002-9302-0793"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yue Yu","raw_affiliation_strings":["Department of Physics, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021110590","display_name":"Kwok Yip Szeto","orcid":"https://orcid.org/0000-0001-9804-9221"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Yip Szeto","raw_affiliation_strings":["Department of Physics, Hong Kong University of Science and Technology, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100397989"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13103829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2352","last_page":"2359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7411167025566101},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.7040314078330994},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.584827721118927},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5792065858840942},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5687819123268127},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5385381579399109},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5247970819473267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4987819194793701},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.47025883197784424},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43748271465301514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4342745542526245},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.422590047121048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28751301765441895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2154178023338318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20556193590164185},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11112666130065918}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7411167025566101},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.7040314078330994},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.584827721118927},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5792065858840942},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5687819123268127},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5385381579399109},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5247970819473267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4987819194793701},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.47025883197784424},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43748271465301514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4342745542526245},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.422590047121048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28751301765441895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2154178023338318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20556193590164185},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11112666130065918},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2016.7744079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ust.hk:1783.1-79795","is_oa":true,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-79795","pdf_url":"http://repository.ust.hk/ir/bitstream/1783.1-79795/1/MinimizetheaveragemftbyGAWCCIYuSzeto2016.pdf","source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-79795","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-79795","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:repository.ust.hk:1783.1-79795","is_oa":true,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-79795","pdf_url":"http://repository.ust.hk/ir/bitstream/1783.1-79795/1/MinimizetheaveragemftbyGAWCCIYuSzeto2016.pdf","source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2559537214.pdf","grobid_xml":"https://content.openalex.org/works/W2559537214.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W29171635","https://openalex.org/W60166153","https://openalex.org/W131673524","https://openalex.org/W1487600847","https://openalex.org/W1499337589","https://openalex.org/W1527463082","https://openalex.org/W1534706945","https://openalex.org/W1542473770","https://openalex.org/W1572272766","https://openalex.org/W1964062850","https://openalex.org/W1987175624","https://openalex.org/W1989685515","https://openalex.org/W1995519784","https://openalex.org/W1997584151","https://openalex.org/W2001992828","https://openalex.org/W2005020149","https://openalex.org/W2008410369","https://openalex.org/W2010500312","https://openalex.org/W2015370254","https://openalex.org/W2019789576","https://openalex.org/W2021727455","https://openalex.org/W2025956887","https://openalex.org/W2028069703","https://openalex.org/W2034855226","https://openalex.org/W2040749786","https://openalex.org/W2044331959","https://openalex.org/W2046730835","https://openalex.org/W2054708131","https://openalex.org/W2055439139","https://openalex.org/W2072525142","https://openalex.org/W2088012076","https://openalex.org/W2095931149","https://openalex.org/W2100633843","https://openalex.org/W2123769540","https://openalex.org/W2124637492","https://openalex.org/W2135576597","https://openalex.org/W2143285014","https://openalex.org/W2151081147","https://openalex.org/W2160058983","https://openalex.org/W2166795106","https://openalex.org/W2261159030","https://openalex.org/W3022066214","https://openalex.org/W3104570521","https://openalex.org/W3106405727","https://openalex.org/W4233814136","https://openalex.org/W4388311596","https://openalex.org/W6601227222","https://openalex.org/W6602482514","https://openalex.org/W6632484248","https://openalex.org/W6656983194","https://openalex.org/W6679883720","https://openalex.org/W6858252074"],"related_works":["https://openalex.org/W2021654076","https://openalex.org/W2088831353","https://openalex.org/W2349587087","https://openalex.org/W4287816523","https://openalex.org/W3015999728","https://openalex.org/W1979477222","https://openalex.org/W2071421102","https://openalex.org/W2095569089","https://openalex.org/W1968846251","https://openalex.org/W4386505309"],"abstract_inverted_index":{"We":[0,56,88,186],"investigate":[1],"the":[2,12,34,40,47,52,60,72,79,91,103,132,140,158,164,175,181,206],"methods":[3,76],"of":[4,51,63,66,71,82,114,124,177,192,213,217],"rewiring":[5,27,64,161,184,190],"a":[6],"given":[7],"connected":[8],"network":[9],"so":[10],"that":[11,77,210],"average":[13,83],"mean":[14,84],"first":[15,53,85],"passage":[16,54,86],"time":[17],"(AMFPT)":[18],"for":[19,116,220],"random":[20],"walk":[21],"processes":[22],"can":[23,215],"be":[24,216],"reduced.":[25],"Two":[26],"mechanisms":[28],"are":[29],"used,":[30],"which":[31],"we":[32],"call":[33],"zeroth":[35,159],"order":[36,42,134,160,183],"method":[37,43,135,212],"(Z)":[38],"and":[39,74,96,102,201],"higher":[41,112,133,182],"(H)":[44],"according":[45],"to":[46,154,173],"series":[48],"expansion":[49],"analysis":[50,214],"time.":[55,87],"aim":[57],"at":[58],"finding":[59],"optimal":[61],"sequence":[62,191],"action":[65],"k":[67],"units":[68],"long":[69],"composed":[70],"Z":[73],"H":[75],"yields":[78],"maximal":[80],"reduction":[81,113,204],"use":[89],"both":[90],"simple":[92],"genetic":[93,99],"algorithm":[94,100],"(SGA)":[95],"mutation":[97],"only":[98],"(MOGA)":[101],"results":[104],"show":[105],"in":[106,139],"general":[107],"MOGA":[108],"produces":[109],"networks":[110,126,141,147,156,165,197],"with":[111,142,148,166],"AMFPT":[115],"benchmark":[117],"tests":[118],"on":[119,195,205],"all":[120],"three":[121,193],"major":[122],"classes":[123],"complex":[125],"(ER,":[127],"BA,":[128],"WS).":[129],"In":[130],"general,":[131],"appears":[136],"more":[137],"often":[138],"large":[143,168],"clustering":[144,150,169],"coefficient.":[145],"The":[146],"small":[149,178],"coefficient":[151,170],"will":[152],"develop":[153],"regular":[155],"through":[157,180],"method,":[162],"while":[163],"initially":[167],"have":[171],"preference":[172],"reduce":[174],"number":[176],"loops":[179],"method.":[185],"also":[187],"apply":[188],"our":[189,211],"steps":[194],"real":[196],"(IEEE30,":[198],"IEEE":[199],"57)":[200],"produce":[202],"remarkable":[203],"AMFPT.":[207],"This":[208],"indicates":[209],"practical":[218],"importance":[219],"engineering.":[221]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}