{"id":"https://openalex.org/W4285734514","doi":"https://doi.org/10.1145/3512290.3528728","title":"A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem","display_name":"A multi-objective evolutionary algorithm with new reproduction and decomposition mechanisms for the multi-point dynamic aggregation problem","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4285734514","doi":"https://doi.org/10.1145/3512290.3528728"},"language":"en","primary_location":{"id":"doi:10.1145/3512290.3528728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528728","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008583434","display_name":"Guanqiang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqiang Gao","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020307082","display_name":"Bin Xin","orcid":"https://orcid.org/0000-0001-9989-0418"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xin","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073282655","display_name":"Yi Mei","orcid":"https://orcid.org/0000-0003-0682-1363"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yi Mei","raw_affiliation_strings":["Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102956560","display_name":"Shengyu Lu","orcid":"https://orcid.org/0000-0002-7205-3617"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Lu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080589507","display_name":"Shuxin Ding","orcid":"https://orcid.org/0000-0002-7319-1878"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxin Ding","raw_affiliation_strings":["China Academy of Railway, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Railway, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1182","last_page":"1190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958999752998352,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.6500979065895081},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6111469268798828},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5752345323562622},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5593664646148682},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4893426299095154},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44903138279914856},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4313790202140808},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4178074896335602},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4046664535999298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20172858238220215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19130924344062805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6500979065895081},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6111469268798828},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5752345323562622},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5593664646148682},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4893426299095154},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44903138279914856},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4313790202140808},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4178074896335602},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4046664535999298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20172858238220215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19130924344062805},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3512290.3528728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3512290.3528728","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","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":37,"referenced_works":["https://openalex.org/W1967547901","https://openalex.org/W1970176495","https://openalex.org/W1972378094","https://openalex.org/W2017209461","https://openalex.org/W2027009057","https://openalex.org/W2048487010","https://openalex.org/W2049862811","https://openalex.org/W2058142975","https://openalex.org/W2078619461","https://openalex.org/W2102625537","https://openalex.org/W2106334424","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2150046657","https://openalex.org/W2504001201","https://openalex.org/W2767483349","https://openalex.org/W2800580079","https://openalex.org/W2837752717","https://openalex.org/W2898032902","https://openalex.org/W2900384132","https://openalex.org/W2904997552","https://openalex.org/W2909011020","https://openalex.org/W2913808976","https://openalex.org/W2987256267","https://openalex.org/W3033493762","https://openalex.org/W3083692654","https://openalex.org/W3120850404","https://openalex.org/W3136031088","https://openalex.org/W3152378581","https://openalex.org/W3154051857","https://openalex.org/W3164265963","https://openalex.org/W3175577627","https://openalex.org/W3176615347","https://openalex.org/W3187265712","https://openalex.org/W3210619233","https://openalex.org/W3211061545","https://openalex.org/W4205796766"],"related_works":["https://openalex.org/W2122678784","https://openalex.org/W1495042958","https://openalex.org/W2282510344","https://openalex.org/W2183994405","https://openalex.org/W4234013965","https://openalex.org/W2807251790","https://openalex.org/W2349023125","https://openalex.org/W1872497593","https://openalex.org/W2171409224","https://openalex.org/W3025152076"],"abstract_inverted_index":{"An":[0],"emerging":[1],"optimisation":[2,121],"problem":[3,31,56,75,112,151],"from":[4,144],"real-world":[5],"applications,":[6],"named":[7],"the":[8,20,42,49,58,73,78,95,99,104,110,133,141,149,157,178,187,192],"multi-point":[9],"dynamic":[10],"aggregation":[11],"(MPDA)":[12],"problem,":[13],"has":[14,57],"become":[15],"an":[16,128],"active":[17],"research":[18],"of":[19,38,44,51,60,118,159,197],"multi-robot":[21],"system.":[22],"This":[23],"paper":[24,163],"focuses":[25],"on":[26],"a":[27,84,116,165],"multi-objective":[28,86,111],"MPDA":[29],"(MO-MPDA)":[30],"which":[32],"is":[33,89,113],"to":[34,71,147,169,173],"design":[35],"execution":[36],"plans":[37],"robots":[39,46],"for":[40,176],"minimising":[41],"cost":[43,105],"used":[45],"and":[47,65,81,102,137,153,181],"maximising":[48],"efficiency":[50,96],"task":[52],"execution.":[53],"The":[54,91],"MOMPDA":[55],"issues":[59],"conflicting":[61],"objectives,":[62],"redundant":[63],"representation,":[64],"variable-length":[66],"encoding,":[67],"posing":[68],"extra":[69],"challenges":[70],"address":[72],"MO-MPDA":[74,150],"effectively.":[76],"Combining":[77],"\u220a-constraint":[79],"method":[80],"decomposition":[82],"mechanisms,":[83],"novel":[85],"evolutionary":[87],"algorithm":[88,93,189],"proposed.":[90],"proposed":[92,188],"selects":[94],"objective":[97,101,106],"as":[98,107],"main":[100],"converts":[103],"constraints.":[108],"Thus,":[109],"decomposed":[114],"into":[115],"series":[117],"scalar":[119],"constrained":[120],"subproblems":[122,134],"by":[123],"assigning":[124],"each":[125],"subproblem":[126],"with":[127,140],"upper":[129],"bound":[130],"constraint.":[131],"All":[132],"are":[135],"optimised":[136],"evolved":[138],"simultaneously":[139],"transferring":[142],"knowledge":[143],"other":[145],"sub-problems":[146],"solve":[148],"parallelly":[152],"efficiently.":[154],"Besides,":[155],"considering":[156],"characteristics":[158],"parent":[160],"individuals,":[161],"this":[162],"designs":[164],"hybrid":[166],"reproduction":[167],"mechanism":[168],"transmit":[170],"effective":[171],"information":[172],"offspring":[174],"individuals":[175],"tackling":[177],"encoding":[179],"redundancy":[180],"varying-length.":[182],"Experimental":[183],"results":[184],"show":[185],"that":[186],"significantly":[190],"outperforms":[191],"state-of-the-art":[193],"algorithms":[194],"in":[195],"terms":[196],"most-used":[198],"metrics.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}