{"id":"https://openalex.org/W3172631007","doi":"https://doi.org/10.4018/ijamc.2019040103","title":"Performance Evaluation of Population Seeding Techniques of Permutation-Coded GA Traveling Salesman Problems Based Assessment","display_name":"Performance Evaluation of Population Seeding Techniques of Permutation-Coded GA Traveling Salesman Problems Based Assessment","publication_year":2019,"publication_date":"2019-02-13","ids":{"openalex":"https://openalex.org/W3172631007","doi":"https://doi.org/10.4018/ijamc.2019040103","mag":"3172631007"},"language":"en","primary_location":{"id":"doi:10.4018/ijamc.2019040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2019040103","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","raw_type":"journal-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/A5089699360","display_name":"Victer Paul","orcid":null},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Victer Paul","raw_affiliation_strings":["Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology & Research, Guntur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology & Research, Guntur, India","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051553656","display_name":"C. Ganeshkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I99383213","display_name":"Indian Institute of Plantation Management","ror":"https://ror.org/01mx9t266","country_code":"IN","type":"education","lineage":["https://openalex.org/I99383213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganeshkumar C","raw_affiliation_strings":["Indian Institute of Plantation Management (IIPM), Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Plantation Management (IIPM), Bangalore, India","institution_ids":["https://openalex.org/I99383213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032641038","display_name":"Jayakumar Loganathan","orcid":"https://orcid.org/0000-0002-5542-6709"},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayakumar L","raw_affiliation_strings":["Pondicherry University, Pondicherry, India"],"affiliations":[{"raw_affiliation_string":"Pondicherry University, Pondicherry, India","institution_ids":["https://openalex.org/I175691731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089699360"],"corresponding_institution_ids":["https://openalex.org/I149313025"],"apc_list":null,"apc_paid":null,"fwci":0.9801,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83021737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"2","first_page":"55","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.7997217178344727},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7956625819206238},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.729496419429779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5886023044586182},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5358309745788574},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.526461660861969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4559498429298401},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4420817792415619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3313707411289215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30780428647994995}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.7997217178344727},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7956625819206238},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.729496419429779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5886023044586182},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5358309745788574},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.526461660861969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4559498429298401},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4420817792415619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3313707411289215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30780428647994995},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijamc.2019040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijamc.2019040103","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jamc00:v:10:y:2019:i:2:p:55-92","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAMC.2019040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1542943473","https://openalex.org/W1760967662","https://openalex.org/W1963718941","https://openalex.org/W1964880423","https://openalex.org/W1968532820","https://openalex.org/W1972773455","https://openalex.org/W1972913644","https://openalex.org/W1973449924","https://openalex.org/W1985879170","https://openalex.org/W1988543053","https://openalex.org/W1988705050","https://openalex.org/W1990177275","https://openalex.org/W2000975998","https://openalex.org/W2007287649","https://openalex.org/W2016740242","https://openalex.org/W2017708378","https://openalex.org/W2020473592","https://openalex.org/W2042354250","https://openalex.org/W2046996444","https://openalex.org/W2049385568","https://openalex.org/W2052257324","https://openalex.org/W2062630362","https://openalex.org/W2068696225","https://openalex.org/W2069024107","https://openalex.org/W2071248824","https://openalex.org/W2071259536","https://openalex.org/W2080381323","https://openalex.org/W2084993914","https://openalex.org/W2089962093","https://openalex.org/W2092713296","https://openalex.org/W2093709925","https://openalex.org/W2102802512","https://openalex.org/W2148736953","https://openalex.org/W2149877711","https://openalex.org/W2167739347","https://openalex.org/W2168024197","https://openalex.org/W2168167348","https://openalex.org/W2168830519","https://openalex.org/W2168988713","https://openalex.org/W2533970107","https://openalex.org/W4243694527"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W3159037256","https://openalex.org/W4386821099","https://openalex.org/W2495211334","https://openalex.org/W3016456819","https://openalex.org/W3095745430"],"abstract_inverted_index":{"Genetic":[0],"algorithms":[1,83],"(GAs)":[2],"are":[3,173,223,244],"a":[4,16,25,33,125],"population-based":[5],"meta-heuristic":[6],"global":[7],"optimization":[8],"technique":[9,118],"for":[10,80],"dealing":[11],"with":[12,15,101],"complex":[13],"problems":[14,157],"very":[17],"large":[18],"search":[19,41],"space.":[20],"The":[21,112,184,220],"population":[22,59,77,94,116,212,237],"initialization":[23,60,98,106,196],"is":[24,63,67,164,192],"crucial":[26],"task":[27],"in":[28,36,61,70,122,189,215],"GAs":[29],"because":[30],"it":[31,66],"plays":[32],"vital":[34],"role":[35],"the":[37,46,49,54,71,153,159,168,171,187,195,199,208,211,231,248,253,256],"convergence":[38,134,140],"speed,":[39],"problem":[40,162],"space":[42],"exploration,":[43],"and":[44,96,147,170,201,240,252],"also":[45],"quality":[47],"of":[48,56,114,124,127,149,152,158,186,198,210,235,255],"final":[50],"optimal":[51],"solution.":[52],"Though":[53],"importance":[55],"deciding":[57],"problem-specific":[58],"GA":[62,200],"widely":[64],"recognized,":[65],"hardly":[68],"addressed":[69],"literature.":[72],"In":[73],"this":[74,190,202],"article,":[75],"different":[76],"seeding":[78,117,213,238],"techniques":[79,107,214,239,243],"permutation-coded":[81],"genetic":[82],"such":[84,130],"as":[85,131,167],"random,":[86],"nearest":[87],"neighbor":[88],"(NN),":[89],"gene":[90],"bank":[91],"(GB),":[92],"sorted":[93],"(SP),":[95],"selective":[97],"(SI),":[99],"along":[100],"three":[102],"newly":[103],"proposed":[104],"ordered-distance-vector-based":[105],"have":[108],"been":[109,120],"extensively":[110],"studied.":[111],"ability":[113],"each":[115,236],"has":[119],"examined":[121],"terms":[123],"set":[126],"performance":[128,209,233],"criteria,":[129],"computation":[132],"time,":[133],"rate,":[135,137],"error":[136],"average":[138,144],"convergence,":[139],"diversity,":[141],"nearest-neighbor":[142],"ratio,":[143],"distinct":[145],"solutions":[146],"distribution":[148],"individuals.":[150],"One":[151],"famous":[154],"combinatorial":[155],"hard":[156],"traveling":[160],"salesman":[161],"(TSP)":[163],"being":[165],"chosen":[166],"testbed":[169],"experiments":[172,188],"performed":[174],"on":[175,247],"large-sized":[176],"benchmark":[177],"TSP":[178],"instances":[179],"obtained":[180],"from":[181],"standard":[182],"TSPLIB.":[183],"scope":[185,204],"article":[191],"limited":[193],"to":[194,206,229],"phase":[197,218],"restricted":[203],"helps":[205],"assess":[207],"their":[216],"intended":[217],"alone.":[219],"experimentation":[221],"analyses":[222],"carried":[224],"out":[225],"using":[226],"statistical":[227],"tools":[228],"claim":[230],"unique":[232],"characteristic":[234],"best":[241],"performing":[242],"identified":[245],"based":[246],"assessment":[249],"criteria":[250],"defined":[251],"nature":[254],"application.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-06-22T00:00:00"}
