{"id":"https://openalex.org/W1593807471","doi":"https://doi.org/10.1109/cec.2005.1554683","title":"ICARUS: Intelligent coupon allocation for retailers using search","display_name":"ICARUS: Intelligent coupon allocation for retailers using search","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1593807471","doi":"https://doi.org/10.1109/cec.2005.1554683","mag":"1593807471"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://bura.brunel.ac.uk/bitstream/2438/3242/1/ICARUS%20intelligent%20coupon%20allocation%20for%20retailers%20using%20search.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042037650","display_name":"Stephen Swift","orcid":"https://orcid.org/0000-0001-8918-3365"},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Swift","raw_affiliation_strings":["School of Information Systems, Computing and Mathematics, Brunei University, Middlesex, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Systems, Computing and Mathematics, Brunei University, Middlesex, UK","institution_ids":["https://openalex.org/I60488453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046374024","display_name":"An\u2010Chang Shi","orcid":"https://orcid.org/0000-0003-1379-7162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Shi","raw_affiliation_strings":["Loyalty Logic Limited, Fleet, Hampshire, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyalty Logic Limited, Fleet, Hampshire, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109319963","display_name":"Julian M. Crampton","orcid":null},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Crampton","raw_affiliation_strings":["Information Security Group, Department of Mathematics, University of London, Egham, Surrey, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Security Group, Department of Mathematics, University of London, Egham, Surrey, UK","institution_ids":["https://openalex.org/I124357947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004397914","display_name":"Allan Tucker","orcid":"https://orcid.org/0000-0001-5105-3506"},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Tucker","raw_affiliation_strings":["School of Information Systems, Computing and Mathematics, Brunei University, Middlesex, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Systems, Computing and Mathematics, Brunei University, Middlesex, UK","institution_ids":["https://openalex.org/I60488453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11764706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"182","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coupon","display_name":"Coupon","score":0.6869433522224426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6420316696166992},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.5805394649505615},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5546207427978516},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5408300757408142},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5141330361366272},{"id":"https://openalex.org/keywords/loyalty","display_name":"Loyalty","score":0.4993283748626709},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4979872703552246},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4692504405975342},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4622127413749695},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4289410710334778},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2566075921058655},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1987328827381134},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.17189162969589233},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.16853812336921692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1545153558254242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14404025673866272},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13768932223320007},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10123217105865479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08884519338607788}],"concepts":[{"id":"https://openalex.org/C2779307704","wikidata":"https://www.wikidata.org/wiki/Q11794832","display_name":"Coupon","level":2,"score":0.6869433522224426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420316696166992},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.5805394649505615},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5546207427978516},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5408300757408142},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5141330361366272},{"id":"https://openalex.org/C2776967331","wikidata":"https://www.wikidata.org/wiki/Q1132131","display_name":"Loyalty","level":2,"score":0.4993283748626709},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4979872703552246},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4692504405975342},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4622127413749695},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4289410710334778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2566075921058655},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1987328827381134},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.17189162969589233},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.16853812336921692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1545153558254242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14404025673866272},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13768932223320007},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10123217105865479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08884519338607788},{"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.2005.1554683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:bura.brunel.ac.uk:2438/3242","is_oa":true,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/3242","pdf_url":"http://bura.brunel.ac.uk/bitstream/2438/3242/1/ICARUS%20intelligent%20coupon%20allocation%20for%20retailers%20using%20search.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"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":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:bura.brunel.ac.uk:2438/3242","is_oa":true,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/3242","pdf_url":"http://bura.brunel.ac.uk/bitstream/2438/3242/1/ICARUS%20intelligent%20coupon%20allocation%20for%20retailers%20using%20search.pdf","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"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":"Conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1593807471.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W581856974","https://openalex.org/W1484413656","https://openalex.org/W1497256448","https://openalex.org/W1508419498","https://openalex.org/W1595498733","https://openalex.org/W1768619703","https://openalex.org/W1787544972","https://openalex.org/W2011039300","https://openalex.org/W2024060531","https://openalex.org/W2096590200","https://openalex.org/W2122410182","https://openalex.org/W2156728410","https://openalex.org/W2476096155","https://openalex.org/W2976664243","https://openalex.org/W4230781079","https://openalex.org/W6628750762","https://openalex.org/W6638021218","https://openalex.org/W6683225304"],"related_works":["https://openalex.org/W2974050152","https://openalex.org/W2198155671","https://openalex.org/W1481018110","https://openalex.org/W3150641959","https://openalex.org/W2083573183","https://openalex.org/W2014162767","https://openalex.org/W2115729582","https://openalex.org/W2046083801","https://openalex.org/W2809283963","https://openalex.org/W2367260997"],"abstract_inverted_index":{"Many":[0],"retailers":[1],"run":[2],"loyalty":[3],"card":[4],"schemes":[5],"for":[6],"their":[7],"customers":[8],"offering":[9],"incentives":[10],"in":[11],"the":[12,22,28,36,40,54,66,70],"form":[13],"of":[14,21,38,43,56,60,65,72,115,122],"money":[15],"off":[16],"coupons.":[17,61],"The":[18,77],"total":[19,49],"value":[20],"coupons":[23,44],"depends":[24],"on":[25],"how":[26],"much":[27],"customer":[29],"has":[30],"spent.":[31],"This":[32],"paper":[33],"deals":[34],"with":[35],"problem":[37,67],"finding":[39],"smallest":[41],"set":[42],"such":[45],"that":[46,100],"each":[47],"possible":[48],"can":[50,103],"be":[51,104],"represented":[52],"as":[53],"sum":[55],"a":[57,73,111,119],"pre-defined":[58],"number":[59],"A":[62],"mathematical":[63],"analysis":[64],"leads":[68],"to":[69,81,91,118],"development":[71],"genetic":[74],"algorithm":[75,78],"solution.":[76],"is":[79],"applied":[80],"real":[82],"world":[83],"data":[84],"using":[85,107],"several":[86],"crossover":[87],"operators":[88],"and":[89],"compared":[90],"well":[92],"known":[93],"straw-person":[94],"methods.":[95],"Results":[96],"are":[97],"promising":[98],"showing":[99],"considerable":[101],"time":[102,117],"saved":[105],"by":[106],"this":[108],"method,":[109],"reducing":[110],"few":[112,120],"days":[113],"worth":[114],"consultancy":[116],"minutes":[121],"computation.":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
