{"id":"https://openalex.org/W7225570815","doi":"https://doi.org/10.6084/m9.figshare.34948856","title":"An explainable multi-algorithm optimization framework with fuzzy duration preprocessing for sustainable infrastructure project scheduling","display_name":"An explainable multi-algorithm optimization framework with fuzzy duration preprocessing for sustainable infrastructure project scheduling","publication_year":2026,"publication_date":"2026-11-08","ids":{"openalex":"https://openalex.org/W7225570815","doi":"https://doi.org/10.6084/m9.figshare.34948856"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.34948856","doi":"https://doi.org/10.6084/m9.figshare.34948856","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948856","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.34948856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161299136","display_name":"Amr A. Mohy","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amr A. Mohy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5022293442","display_name":"Haytham M. Sanad","orcid":"https://orcid.org/0000-0003-2353-4307","observed_orcids":["https://orcid.org/0000-0003-2353-4307"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haytham M. Sanad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10395","display_name":"Construction Project Management and Performance","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-mode-scheduling","display_name":"multi-mode scheduling","score":0.6079999804496765},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8019999861717224},{"id":"https://openalex.org/keywords/explainable-decision-support","display_name":"explainable decision support","score":0.746999979019165},{"id":"https://openalex.org/keywords/defuzzification","display_name":"defuzzification","score":0.9449999928474426},{"id":"https://openalex.org/keywords/metaheuristic-comparison","display_name":"metaheuristic comparison","score":0.5979999899864197},{"id":"https://openalex.org/keywords/nsga-ii","display_name":"NSGA-II","score":0.8510000109672546},{"id":"https://openalex.org/keywords/nsga-iii","display_name":"NSGA-III","score":0.9549999833106995},{"id":"https://openalex.org/keywords/moea-d","display_name":"MOEA/D","score":0.9950000047683716},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.8849999904632568},{"id":"https://openalex.org/keywords/encephaloduroarteriosynangiosis","display_name":"EDAS","score":0.9919999837875366},{"id":"https://openalex.org/keywords/waspas","display_name":"WASPAS","score":1.0},{"id":"https://openalex.org/keywords/shapley-value-attribution","display_name":"Shapley value attribution","score":0.9190000295639038},{"id":"https://openalex.org/keywords/carbon-emission-reduction","display_name":"carbon emission reduction","score":0.7590000033378601},{"id":"https://openalex.org/keywords/construction-scheduling","display_name":"construction scheduling","score":0.5289999842643738},{"id":"https://openalex.org/keywords/resource-fluctuations","display_name":"resource fluctuations","score":0.4749999940395355}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6639999747276306},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6187999844551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017000079154968},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.574999988079071},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.48579999804496765},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4837999939918518},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4174000024795532},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3628000020980835},{"id":"https://openalex.org/C16320812","wikidata":"https://www.wikidata.org/wiki/Q1812200","display_name":"Idle","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.6084/m9.figshare.34948856","doi":"https://doi.org/10.6084/m9.figshare.34948856","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948856","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.6084/m9.figshare.34948856.v1","doi":"https://doi.org/10.6084/m9.figshare.34948856.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948856.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.34948856","doi":"https://doi.org/10.6084/m9.figshare.34948856","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34948856","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.8970999717712402},{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.75},{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5171999931335449},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7214322031","https://openalex.org/W7220831655","https://openalex.org/W2895307108","https://openalex.org/W2102708535","https://openalex.org/W4415651034","https://openalex.org/W4390575479","https://openalex.org/W4249113962","https://openalex.org/W2588641300","https://openalex.org/W7212143835","https://openalex.org/W2805265005"],"abstract_inverted_index":{"Multi-objective":[0],"construction":[1],"scheduling":[2,28,192],"studies":[3],"often":[4],"rely":[5],"on":[6],"one":[7,59,130],"metaheuristic":[8],"and":[9,47,53,77,82,103,133,190],"do":[10],"not":[11],"explain":[12],"why":[13],"a":[14,37,80,83,93,182],"schedule":[15,66],"is":[16],"selected.":[17],"This":[18],"study":[19],"develops":[20],"an":[21],"auditable":[22],"decision-support":[23],"pipeline":[24,177],"for":[25],"multi-mode":[26],"infrastructure":[27],"in":[29,150],"which":[30,179,185],"trapezoidal":[31],"fuzzy":[32],"durations":[33],"are":[34,56],"defuzzified":[35],"before":[36],"deterministic":[38],"search.":[39],"Five":[40],"evolutionary":[41],"solvers":[42],"(NSGA-II,":[43],"NSGA-III,":[44],"MOEA/D,":[45],"RVEA":[46],"UNSGA-III)":[48],"run":[49],"under":[50],"identical":[51],"settings,":[52],"their":[54],"outputs":[55],"pooled":[57,145],"into":[58],"de-duplicated":[60],"non-dominated":[61],"front":[62,146],"that":[63],"attributes":[64,86],"every":[65,148],"to":[67,89,129,167,174],"its":[68],"solver.":[69],"A":[70],"CRITIC-MEREC":[71],"weighted":[72],"consensus":[73],"of":[74,138,165],"TOPSIS,":[75],"EDAS":[76],"WASPAS":[78],"selects":[79],"schedule,":[81,132],"Shapley-value":[84],"surrogate":[85],"the":[87,139,144],"selection":[88],"activity-mode":[90],"commitments.":[91],"On":[92,162],"20-activity":[94],"network,":[95],"duration":[96],"fell":[97,171],"by":[98,101,106,110,172],"26.12%,":[99],"cost":[100],"12.04%":[102],"resource":[104],"fluctuation":[105],"35.86%,":[107],"but":[108],"emissions":[109,118,170],"only":[111],"1.96%,":[112],"because":[113],"faster":[114],"modes":[115],"raised":[116],"working":[117],"almost":[119],"as":[120,122],"much":[121],"they":[123],"reduced":[124],"idle":[125],"emissions.":[126],"MOEA/D":[127],"collapsed":[128],"distinct":[131],"three":[134],"activities":[135],"carried":[136],"most":[137],"attribution.":[140],"Across":[141],"30":[142,166],"replications":[143],"exceeded":[147],"solver":[149,180],"hypervolume,":[151],"although":[152],"five":[153],"NSGA-II":[154],"restarts":[155],"at":[156],"equal":[157],"budget":[158],"scored":[159],"0.86%":[160],"higher.":[161],"PSPLIB":[163],"networks":[164],"120":[168],"activities,":[169],"11.87%":[173],"54.78%.":[175],"The":[176],"shows":[178],"suits":[181],"problem":[183],"class,":[184],"commitments":[186],"need":[187],"managerial":[188],"attention":[189],"whether":[191],"alone":[193],"can":[194],"reduce":[195],"carbon":[196],"meaningfully.":[197]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-11-09T00:00:00"}
