{"id":"https://openalex.org/W2893345161","doi":"https://doi.org/10.1109/icis.2018.8466513","title":"An Improved Golden Ball Algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery","display_name":"An Improved Golden Ball Algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2893345161","doi":"https://doi.org/10.1109/icis.2018.8466513","mag":"2893345161"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2018.8466513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","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/A5069330242","display_name":"Kanjana Ruttanateerawichien","orcid":null},"institutions":[{"id":"https://openalex.org/I4322889","display_name":"Mahanakorn University of Technology","ror":"https://ror.org/05qebwp08","country_code":"TH","type":"education","lineage":["https://openalex.org/I4322889"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Kanjana Ruttanateerawichien","raw_affiliation_strings":["Faculty of Information Science and Technology, Mahanakorn University of Technology, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Mahanakorn University of Technology, Bangkok, Thailand","institution_ids":["https://openalex.org/I4322889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003423435","display_name":"Werasak Kurutach","orcid":"https://orcid.org/0000-0002-1109-3543"},"institutions":[{"id":"https://openalex.org/I4322889","display_name":"Mahanakorn University of Technology","ror":"https://ror.org/05qebwp08","country_code":"TH","type":"education","lineage":["https://openalex.org/I4322889"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Werasak Kurutach","raw_affiliation_strings":["Faculty of Information Science and Technology, Mahanakorn University of Technology, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Mahanakorn University of Technology, Bangkok, Thailand","institution_ids":["https://openalex.org/I4322889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069330242"],"corresponding_institution_ids":["https://openalex.org/I4322889"],"apc_list":null,"apc_paid":null,"fwci":0.4927,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7296034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"258","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.996999979019165,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9958999752998352,"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/pickup","display_name":"Pickup","score":0.9097688794136047},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.6899569630622864},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.6557492017745972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6006850600242615},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4794308543205261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4202786684036255},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22982576489448547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2092258334159851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1580948829650879}],"concepts":[{"id":"https://openalex.org/C2776221269","wikidata":"https://www.wikidata.org/wiki/Q572648","display_name":"Pickup","level":3,"score":0.9097688794136047},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.6899569630622864},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.6557492017745972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6006850600242615},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4794308543205261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4202786684036255},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22982576489448547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2092258334159851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1580948829650879},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2018.8466513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W15274158","https://openalex.org/W1965618732","https://openalex.org/W1966842536","https://openalex.org/W1968686257","https://openalex.org/W1969092866","https://openalex.org/W1980953437","https://openalex.org/W1986867012","https://openalex.org/W1989604479","https://openalex.org/W1990529622","https://openalex.org/W1994940434","https://openalex.org/W1996693860","https://openalex.org/W2016519623","https://openalex.org/W2017577149","https://openalex.org/W2038138399","https://openalex.org/W2049035893","https://openalex.org/W2059618103","https://openalex.org/W2061239862","https://openalex.org/W2086207137","https://openalex.org/W2106445380","https://openalex.org/W2111563176","https://openalex.org/W2111581650","https://openalex.org/W2154524377","https://openalex.org/W2159226528","https://openalex.org/W2167890839","https://openalex.org/W2172122819"],"related_works":["https://openalex.org/W2185313546","https://openalex.org/W2185850456","https://openalex.org/W2994962043","https://openalex.org/W2351571732","https://openalex.org/W2741596907","https://openalex.org/W4248894450","https://openalex.org/W4293253022","https://openalex.org/W2183192769","https://openalex.org/W2048314949","https://openalex.org/W3204694157"],"abstract_inverted_index":{"A":[0],"Golden":[1,55,96],"Ball":[2,56,97],"(IGB)":[3],"algorithm":[4,58,90,99],"was":[5,30,59,74,91],"improved":[6,60],"for":[7],"the":[8,16,33,42,48,54,77,81,88,95,104],"well-known":[9],"vehicle":[10],"routing":[11],"problem,":[12],"which":[13],"simultaneously":[14],"considers":[15],"customer":[17,49],"demand":[18,46],"from":[19],"both":[20,41],"delivery":[21,43],"and":[22,44,69,93],"pickup":[23,45],"orders.":[24],"The":[25,72],"objective":[26],"of":[27,36,47,113,118],"this":[28,52],"problem":[29],"to":[31,38,75],"determine":[32],"optimal":[34],"set":[35],"routes":[37],"totally":[39],"satisfy":[40],"population.":[50],"In":[51],"paper,":[53],"(GB)":[57,98],"using":[61],"intra-move":[62],"improvement":[63],"algorithms":[64],"modify":[65],"process":[66],"selection":[67],"players":[68],"coaching":[70],"procedure.":[71],"aim":[73],"find":[76],"solution":[78],"that":[79,87],"minimizes":[80],"total":[82],"cost.":[83],"Computational":[84],"results":[85],"showed":[86],"IGB":[89],"competitive":[92],"outperforms":[94],"in":[100,111],"all":[101],"directions.":[102],"Moreover,":[103],"best":[105],"known":[106],"solutions":[107],"were":[108],"also":[109],"obtained":[110],"67.43%":[112],"tested":[114],"instances":[115],"(19":[116],"out":[117],"28).":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}