{"id":"https://openalex.org/W2038671538","doi":"https://doi.org/10.1109/cec.2012.6252951","title":"PSO as a meta-search for hyper-GA system to evolve optimal agendas for sequential multi-issue negotiation","display_name":"PSO as a meta-search for hyper-GA system to evolve optimal agendas for sequential multi-issue negotiation","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2038671538","doi":"https://doi.org/10.1109/cec.2012.6252951","mag":"2038671538"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6252951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6252951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","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/A5027244982","display_name":"Ahmed Kattan","orcid":"https://orcid.org/0000-0003-3239-4692"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ahmed Kattan","raw_affiliation_strings":["Computer Science Department, Loughborough University, UK","Computer Science Department,  Loughborough University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Loughborough University, UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Computer Science Department,  Loughborough University, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011019780","display_name":"Shaheen Fatima","orcid":"https://orcid.org/0000-0002-6068-2942"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaheen Fatima","raw_affiliation_strings":["Computer Science Department, Loughborough University, UK","Computer Science Department,  Loughborough University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Loughborough University, UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Computer Science Department,  Loughborough University, UK","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.5203,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61068316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9983999729156494,"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":0.9983999729156494,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9955000281333923,"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":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.830936074256897},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7155548334121704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6937903165817261},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5915018320083618},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5456652045249939},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5273959040641785},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4303341507911682},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4176757335662842},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4018251299858093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3246547281742096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23002296686172485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18733134865760803},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.12909534573554993},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12548702955245972},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11988481879234314},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.06827044486999512}],"concepts":[{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.830936074256897},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7155548334121704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6937903165817261},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5915018320083618},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5456652045249939},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5273959040641785},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4303341507911682},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4176757335662842},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4018251299858093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3246547281742096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23002296686172485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18733134865760803},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.12909534573554993},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12548702955245972},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11988481879234314},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.06827044486999512},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2012.6252951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6252951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.501.1572","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.501.1572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ahmedkattan.com/index_files/PSO-Agenda.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1984874316","https://openalex.org/W1986808060","https://openalex.org/W1999908607","https://openalex.org/W2016415759","https://openalex.org/W2043985309","https://openalex.org/W2056269018","https://openalex.org/W2067876984","https://openalex.org/W2109100253","https://openalex.org/W2145554188","https://openalex.org/W2152195021","https://openalex.org/W2164531580","https://openalex.org/W2244525737","https://openalex.org/W6681400957"],"related_works":["https://openalex.org/W2069705450","https://openalex.org/W2322802588","https://openalex.org/W2401058949","https://openalex.org/W4230237643","https://openalex.org/W2991784296","https://openalex.org/W2007820812","https://openalex.org/W2030457343","https://openalex.org/W1819545986","https://openalex.org/W2012138520","https://openalex.org/W2409425591"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,98,185],"new":[4],"technique":[5,75,107,171],"based":[6],"on":[7,54],"Hyper":[8],"Genetic":[9],"Algorithm":[10],"(GA)":[11],"and":[12,39,184],"Particle":[13],"Swarm":[14],"Optimisation":[15],"(PSO)":[16],"to":[17,60,82,129,155],"evolve":[18],"optimal":[19,71],"agenda":[20,29,63,87],"for":[21,94,123,144],"bilateral":[22],"multi-issue":[23],"negotiation.":[24],"In":[25],"sequential":[26],"negotiation":[27,38,52],"the":[28,31,37,40,55,66,77,86,91,95,102,124,133,145,149,158,169],"specifies":[30],"set":[32,79,126],"of":[33,80,110,127,148,160],"issues":[34,81,96,128],"included":[35,84,131],"in":[36,42,85,97,132],"order":[41,147],"which":[43],"they":[44],"will":[45],"be":[46,83,130],"discussed.":[47],"A":[48],"player's":[49,103],"profit":[50],"from":[51],"depends":[53],"agenda.":[56,72,134],"Each":[57],"player":[58],"wants":[59],"find":[61],"an":[62,117,138],"that":[64,100,121,142,168],"yields":[65],"highest":[67],"profit,":[68],"i.e.,":[69],"his/her":[70],"Our":[73],"proposed":[74,106,170],"identifies":[76],"best":[78,92,125,146],"as":[88,90],"well":[89],"ordering":[93],"way":[99],"increases":[101],"profit.":[104],"The":[105],"is":[108,153],"comprised":[109],"two":[111,162],"GA":[112,119,140,163],"systems.":[113,164],"Firstly,":[114],"we":[115,136],"have":[116,137],"outer":[118],"system":[120,141],"searches":[122,143],"Secondly,":[135],"inner":[139],"selected":[150],"issues.":[151],"PSO":[152],"used":[154],"automatically":[156],"adjust":[157],"parameters":[159],"these":[161],"Empirical":[165],"evidence":[166],"demonstrates":[167],"evolves":[172],"better":[173],"agendas":[174],"than":[175],"standard":[176],"GA,":[177],"1+1":[178],"Evolutionary":[179],"Strategy,":[180],"Fixed":[181],"Settings":[182],"Hyper-GA":[183],"simple":[186],"random":[187],"search.":[188]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
