{"id":"https://openalex.org/W4402353363","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649915","title":"DICO-NEEP: NEEP with Distance Information and Constant Optimization","display_name":"DICO-NEEP: NEEP with Distance Information and Constant Optimization","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353363","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649915"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10649915","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100322125","display_name":"Chen Liu","orcid":"https://orcid.org/0000-0001-6650-8892"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Liu","raw_affiliation_strings":["Unversity of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unversity of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107079790","display_name":"Chaoran Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoran Pang","raw_affiliation_strings":["Unversity of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unversity of Jinan,Shandong Provincial Key Laboratory of Network Based Intelligent Computing,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602741","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0003-3033-4792"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Quan Cheng Laboratory,Jinan,China,250100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quan Cheng Laboratory,Jinan,China,250100","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453363","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-7837-3454"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["Quan Cheng Laboratory,Jinan,China,250100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quan Cheng Laboratory,Jinan,China,250100","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9968000054359436,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.6894456744194031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5371167659759521},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07517227530479431}],"concepts":[{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.6894456744194031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371167659759521},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07517227530479431}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10649915","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W5949222","https://openalex.org/W107757179","https://openalex.org/W1488666798","https://openalex.org/W1501347617","https://openalex.org/W1542869478","https://openalex.org/W1582552186","https://openalex.org/W2009392275","https://openalex.org/W2039133703","https://openalex.org/W2084288340","https://openalex.org/W2116850883","https://openalex.org/W2138537392","https://openalex.org/W2250539671","https://openalex.org/W2296511894","https://openalex.org/W2418011578","https://openalex.org/W2738127235","https://openalex.org/W2896457183","https://openalex.org/W2912999925","https://openalex.org/W2938830017","https://openalex.org/W2962739339","https://openalex.org/W2963026768","https://openalex.org/W2966715458","https://openalex.org/W2972644363","https://openalex.org/W2979619501","https://openalex.org/W3000633136","https://openalex.org/W3048390498","https://openalex.org/W3048997926","https://openalex.org/W3049767776","https://openalex.org/W3065910914","https://openalex.org/W3066846904","https://openalex.org/W3067511201","https://openalex.org/W3092213025","https://openalex.org/W3111210983","https://openalex.org/W3117096406","https://openalex.org/W3159431528","https://openalex.org/W4289765664","https://openalex.org/W6630229783","https://openalex.org/W6632470151","https://openalex.org/W6755207826","https://openalex.org/W6758930985","https://openalex.org/W6766904570","https://openalex.org/W6780151885"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Symbolic":[0],"regression":[1,20,182],"represents":[2],"a":[3,141,171],"critical":[4],"challenge":[5],"in":[6,42,121,174],"computer":[7],"science,":[8],"aiming":[9],"to":[10,34,111,115,133,145],"derive":[11],"accurate":[12],"equations":[13],"for":[14],"given":[15],"datasets.":[16],"The":[17],"classical":[18],"symbolic":[19,181],"algorithm,":[21],"Neuro-Encoded":[22],"Expression":[23],"Programming":[24],"(NEEP),":[25],"mitigates":[26],"the":[27,39,60,71,77,82,88,94,129,147,165,175],"inherent":[28],"issue":[29,89],"of":[30,90,96,149,177],"output":[31],"volatility":[32],"due":[33],"input":[35],"perturbations":[36],"caused":[37],"by":[38,49,118],"discrete":[40,51],"coding":[41,52,55],"previous":[43],"evolutionary":[44],"algorithms.":[45],"It":[46],"achieves":[47],"this":[48,103,138],"converting":[50],"into":[53],"continuous":[54],"through":[56],"neural":[57],"networks.":[58],"However,":[59],"NEEP":[61],"model":[62],"itself":[63],"confronts":[64],"two":[65],"significant":[66,172],"challenges.":[67],"Firstly,":[68],"it":[69,86],"disregards":[70],"distance":[72,113],"relationships":[73],"among":[74],"symbols":[75],"during":[76,109],"mapping":[78],"process,":[79],"thus":[80],"complicating":[81],"post-mapping":[83],"search.":[84],"Secondly,":[85],"neglects":[87],"constant":[91,135,161],"optimization,":[92],"making":[93],"discovery":[95],"precise":[97],"expressions":[98],"challenging.":[99],"Addressing":[100],"these":[101],"concerns,":[102],"study":[104],"proposes":[105,140],"an":[106],"embedding":[107],"module":[108],"pre-training":[110,119],"impart":[112],"information":[114],"symbols,":[116],"inspired":[117],"methodologies":[120],"Natural":[122],"Language":[123],"Processing":[124],"(NLP).":[125],"This":[126,157],"enhancement":[127,173],"expedites":[128],"search":[130],"process.":[131],"Furthermore,":[132],"tackle":[134],"optimization":[136,162],"challenges,":[137],"paper":[139],"novel":[142],"encoding":[143,159],"approach":[144],"overcome":[146],"limitations":[148],"traditional":[150],"placeholder":[151],"methods":[152],"that":[153],"impede":[154],"expressive":[155],"capabilities.":[156],"new":[158],"facilitates":[160],"without":[163],"disrupting":[164],"original":[166],"equation.":[167],"Experimental":[168],"results":[169],"substantiate":[170],"convergence":[176],"DICO-NEEP":[178],"across":[179],"various":[180],"problems.":[183]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
