{"id":"https://openalex.org/W2502336820","doi":"https://doi.org/10.1145/2908812.2908894","title":"A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives","display_name":"A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2502336820","doi":"https://doi.org/10.1145/2908812.2908894","mag":"2502336820"},"language":"en","primary_location":{"id":"doi:10.1145/2908812.2908894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","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/A5026676925","display_name":"Sam Cramer","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sam Cramer","raw_affiliation_strings":["University of Kent, Medway, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Medway, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087235995","display_name":"Michael Kampouridis","orcid":"https://orcid.org/0000-0003-0047-7565"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Kampouridis","raw_affiliation_strings":["University of Kent, Medway, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Medway, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087201377","display_name":"Alex A. Freitas","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Freitas","raw_affiliation_strings":["University of Kent, Canterbury, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":3.1172,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91023701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"885","last_page":"892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9966999888420105,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/genetic-programming","display_name":"Genetic programming","score":0.7020283937454224},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6428943872451782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6036247611045837},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5775200128555298},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5342255234718323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5026946067810059},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4601254463195801},{"id":"https://openalex.org/keywords/domain-decomposition-methods","display_name":"Domain decomposition methods","score":0.4536556303501129},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4398345351219177},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.42911815643310547},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.413438081741333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3998924493789673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35152214765548706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2904929518699646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1551063060760498}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7020283937454224},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6428943872451782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036247611045837},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5775200128555298},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5342255234718323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5026946067810059},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4601254463195801},{"id":"https://openalex.org/C198880260","wikidata":"https://www.wikidata.org/wiki/Q5289813","display_name":"Domain decomposition methods","level":3,"score":0.4536556303501129},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4398345351219177},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.42911815643310547},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.413438081741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3998924493789673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35152214765548706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2904929518699646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1551063060760498},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2908812.2908894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:55155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908894>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1124582155","https://openalex.org/W1970156874","https://openalex.org/W1979156432","https://openalex.org/W1981751431","https://openalex.org/W2129999366","https://openalex.org/W2135448789","https://openalex.org/W2158638608","https://openalex.org/W2245959749","https://openalex.org/W2997546679"],"related_works":["https://openalex.org/W2597266923","https://openalex.org/W2018702098","https://openalex.org/W30930551","https://openalex.org/W2161243591","https://openalex.org/W2003238696","https://openalex.org/W2156024331","https://openalex.org/W569408057","https://openalex.org/W2968285896","https://openalex.org/W1660242800","https://openalex.org/W2004708907"],"abstract_inverted_index":{"Regression":[0],"problems":[1],"provide":[2],"some":[3],"of":[4,13,30,87,93,99,149],"the":[5,11,34,84,90,97,138,147,166,175],"most":[6,35],"challenging":[7,36],"research":[8],"opportunities,":[9],"where":[10],"predictions":[12],"such":[14,69],"domains":[15,23],"are":[16,29,33],"critical":[17],"to":[18,37,143,164],"a":[19,41,79,122,130,169,185],"specific":[20],"application.":[21],"Problem":[22],"that":[24,50,65,168,180],"exhibit":[25],"large":[26],"variability":[27],"and":[28,158,195],"chaotic":[31],"nature":[32],"predict.":[38],"Rainfall":[39],"being":[40],"prime":[42],"example,":[43],"as":[44,70],"it":[45],"exhibits":[46],"very":[47,186],"unique":[48],"characteristics":[49],"do":[51],"not":[52],"exist":[53],"in":[54,77,181],"other":[55],"time":[56],"series":[57],"data.":[58],"Moreover,":[59],"rainfall":[60,71,88,94,101,103,114],"is":[61,75,105,129],"essential":[62],"for":[63,82,125],"applications":[64],"surround":[66],"financial":[67],"securities":[68],"derivatives.":[72,95],"This":[73],"paper":[74],"interested":[76],"creating":[78],"new":[80],"methodology":[81],"increasing":[83],"predictive":[85],"accuracy":[86],"within":[89,102],"problem":[91,140,176],"domain":[92],"Currently,":[96],"process":[98],"predicting":[100],"derivatives":[104],"dominated":[106],"by":[107,189],"statistical":[108],"models,":[109],"namely":[110],"Markov-chain":[111],"extended":[112],"with":[113],"prediction":[115],"(MCRP).":[116],"In":[117],"this":[118],"paper,":[119],"we":[120],"propose":[121],"novel":[123],"algorithm":[124,171],"decomposing":[126],"rainfall,":[127],"which":[128],"hybrid":[131,151],"Genetic":[132],"Programming/Genetic":[133],"Algorithm":[134],"(GP/GA)":[135],"algorithm.":[136],"Hence,":[137],"overall":[139],"becomes":[141],"easier":[142],"solve.":[144],"We":[145,162],"compare":[146],"performance":[148],"our":[150],"GP/GA,":[152],"against":[153],"MCRP,":[154],"Radial":[155],"Basis":[156],"Function":[157],"GP":[159,192],"without":[160,193],"decomposition.":[161],"aim":[163],"show":[165,179],"effectiveness":[167],"decomposition":[170,183,194],"can":[172],"have":[173],"on":[174],"domain.":[177],"Results":[178],"general":[182],"has":[184],"positive":[187],"effect":[188],"statistically":[190],"outperforming":[191],"MCRP.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}