{"id":"https://openalex.org/W2748067473","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015668","title":"NSGA-II based multi-objective pollution routing problem with higher order uncertainty","display_name":"NSGA-II based multi-objective pollution routing problem with higher order uncertainty","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2748067473","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015668","mag":"2748067473"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028888771","display_name":"Amit K. Shukla","orcid":"https://orcid.org/0000-0002-7581-782X"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amit K. Shukla","raw_affiliation_strings":["Department of Computer Science, South Asian University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, South Asian University, New Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024786521","display_name":"Rahul Nath","orcid":"https://orcid.org/0000-0002-8825-8318"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Nath","raw_affiliation_strings":["Department of Computer Science, South Asian University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, South Asian University, New Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003623633","display_name":"Pranab K. Muhuri","orcid":"https://orcid.org/0000-0001-7122-7622"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranab K. Muhuri","raw_affiliation_strings":["Department of Computer Science, South Asian University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, South Asian University, New Delhi, India","institution_ids":["https://openalex.org/I90425906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028888771"],"corresponding_institution_ids":["https://openalex.org/I90425906"],"apc_list":null,"apc_paid":null,"fwci":4.5162,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94849581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9915000200271606,"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"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9915000200271606,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7486954927444458},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.70628422498703},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5402197241783142},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5242857336997986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5199026465415955},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5170953273773193},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.497866153717041},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.45628294348716736},{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.4404746890068054},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4380965232849121},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.43499258160591125},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43104687333106995},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.42735376954078674},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.3114737272262573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2762629985809326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22278568148612976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15301498770713806}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7486954927444458},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.70628422498703},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5402197241783142},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5242857336997986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5199026465415955},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5170953273773193},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.497866153717041},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.45628294348716736},{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.4404746890068054},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4380965232849121},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.43499258160591125},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43104687333106995},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.42735376954078674},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.3114737272262573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2762629985809326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22278568148612976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15301498770713806},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015668","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W285012270","https://openalex.org/W758506392","https://openalex.org/W1490008947","https://openalex.org/W1595498733","https://openalex.org/W1965856911","https://openalex.org/W1976114486","https://openalex.org/W2021429464","https://openalex.org/W2023071828","https://openalex.org/W2028630422","https://openalex.org/W2043897597","https://openalex.org/W2057437156","https://openalex.org/W2057559819","https://openalex.org/W2057679803","https://openalex.org/W2062897401","https://openalex.org/W2067521002","https://openalex.org/W2090366431","https://openalex.org/W2094513248","https://openalex.org/W2103535990","https://openalex.org/W2111361149","https://openalex.org/W2114638601","https://openalex.org/W2124041779","https://openalex.org/W2125631815","https://openalex.org/W2126105956","https://openalex.org/W2132885717","https://openalex.org/W2141178894","https://openalex.org/W2143760316","https://openalex.org/W2149604064","https://openalex.org/W2173034867","https://openalex.org/W2226731518","https://openalex.org/W2239853243","https://openalex.org/W2584462456","https://openalex.org/W4211007335","https://openalex.org/W4236630153","https://openalex.org/W6682133608","https://openalex.org/W6689331354"],"related_works":["https://openalex.org/W2900864464","https://openalex.org/W2475480881","https://openalex.org/W2751558758","https://openalex.org/W2385288202","https://openalex.org/W2798679696","https://openalex.org/W2365061533","https://openalex.org/W2387046015","https://openalex.org/W2121723556","https://openalex.org/W87859928","https://openalex.org/W4239446003"],"abstract_inverted_index":{"Pollution":[0],"routing":[1],"problem":[2,112],"(PRP)":[3],"is":[4,13],"an":[5,114],"NP-hard":[6],"multi-objective":[7,116],"optimization":[8],"problem.":[9],"The":[10],"main":[11],"goal":[12],"pollution":[14],"reduction":[15],"and":[16,40,43,47,64,137],"secondary":[17],"goals":[18],"are":[19],"cost/distance":[20],"minimization,":[21],"profit":[22],"maximization":[23],"etc.":[24,59],"We":[25,108],"have":[26,109],"considered":[27],"two":[28,32],"unique":[29],"models":[30,97],"with":[31,101],"different":[33],"set":[34,140],"of":[35,130],"objectives":[36],"viz.":[37,119],"(i)":[38],"distance":[39],"fuel":[41,48],"consumption,":[42],"(ii)":[44],"weighted":[45],"load":[46],"consumption.":[49],"Here,":[50],"system":[51,74],"parameters":[52,75,100],"like":[53],"demand,":[54],"driver":[55],"wages,":[56],"timing":[57],"constraints":[58],"can't":[60],"be":[61,77],"predicted":[62],"a-priori":[63],"involve":[65],"multiple":[66],"opinions":[67],"from":[68],"the":[69,111,128,131],"designers.":[70],"Thus,":[71],"such":[72],"uncertain":[73,99],"can":[76],"modelled":[78],"using":[79],"fuzzy":[80,84,104,139],"sets.":[81],"As":[82],"type-1":[83,138],"sets":[85,105],"(T1":[86],"FSs)":[87],"has":[88],"limitations":[89],"in":[90],"modelling":[91],"higher":[92],"order":[93],"uncertainty,":[94],"this":[95],"paper":[96],"these":[98],"interval":[102],"type-2":[103],"(IT2":[106],"FSs).":[107],"solved":[110],"by":[113],"efficient":[115],"evolutionary":[117],"algorithm":[118],"NSGA-II":[120],"(non-dominated":[121],"sorting":[122],"genetic":[123],"algorithm-II).":[124],"Numerical":[125],"examples":[126],"demonstrate":[127],"efficiency":[129],"proposed":[132],"technique":[133],"over":[134],"existing":[135],"(crisp":[136],"based)":[141],"approaches.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}