{"id":"https://openalex.org/W7125107040","doi":"https://doi.org/10.1007/s44163-025-00743-6","title":"Hybrid mating optimization algorithm based on natural mating behaviors for complex optimization problems","display_name":"Hybrid mating optimization algorithm based on natural mating behaviors for complex optimization problems","publication_year":2026,"publication_date":"2026-01-21","ids":{"openalex":"https://openalex.org/W7125107040","doi":"https://doi.org/10.1007/s44163-025-00743-6"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00743-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00743-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44163-025-00743-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121792876","display_name":"Neha Tyagi","orcid":null},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neha Tyagi","raw_affiliation_strings":["Amity University, Greater Noida, India"],"raw_orcid":"https://orcid.org/0009-0003-1567-1149","affiliations":[{"raw_affiliation_string":"Amity University, Greater Noida, India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015362773","display_name":"Deepshikha Bhargava","orcid":null},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepshikha Bhargava","raw_affiliation_strings":["Amity University, Greater Noida, India"],"raw_orcid":"https://orcid.org/0000-0001-7017-1372","affiliations":[{"raw_affiliation_string":"Amity University, Greater Noida, India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123455220","display_name":"Anil Ahlawat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086299","display_name":"Noida International University","ror":"https://ror.org/001amd982","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210086299"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anil Ahlawat","raw_affiliation_strings":["Noida Institute of Engineering & Technology (NIET), Greater Noida, India"],"raw_orcid":"https://orcid.org/0000-0001-5600-9360","affiliations":[{"raw_affiliation_string":"Noida Institute of Engineering & Technology (NIET), Greater Noida, India","institution_ids":["https://openalex.org/I4210086299"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5121792876"],"corresponding_institution_ids":["https://openalex.org/I191972202"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07947605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","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":0.7480999827384949,"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":0.7480999827384949,"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":0.07050000131130219,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.052799999713897705,"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/metaheuristic","display_name":"Metaheuristic","score":0.513700008392334},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4593000113964081},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4577000141143799},{"id":"https://openalex.org/keywords/foraging","display_name":"Foraging","score":0.4156999886035919},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.37439998984336853},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.3621000051498413},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.3571999967098236},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.33880001306533813},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.33570000529289246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5568000078201294},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.513700008392334},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4577000141143799},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4278999865055084},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.3621000051498413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35929998755455017},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C514575182","wikidata":"https://www.wikidata.org/wiki/Q228395","display_name":"Mating","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.29330000281333923},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C143574069","wikidata":"https://www.wikidata.org/wiki/Q3497720","display_name":"Bees algorithm","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.2567000091075897},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00743-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00743-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:127946476ce24a64b0cc3c6dd1beb49b","is_oa":true,"landing_page_url":"https://doaj.org/article/127946476ce24a64b0cc3c6dd1beb49b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00743-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00743-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.7005032896995544}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2134816084","https://openalex.org/W2336667609","https://openalex.org/W2749746775","https://openalex.org/W2786580002","https://openalex.org/W2805556177","https://openalex.org/W2980845510","https://openalex.org/W3014842612","https://openalex.org/W3168376698","https://openalex.org/W3171318138","https://openalex.org/W3185882030","https://openalex.org/W4210548680","https://openalex.org/W4381185487","https://openalex.org/W4382721878","https://openalex.org/W4393223737","https://openalex.org/W4396973355","https://openalex.org/W4400428343","https://openalex.org/W4400428406","https://openalex.org/W4401702711","https://openalex.org/W4402542888","https://openalex.org/W4405985436","https://openalex.org/W4410347271","https://openalex.org/W4410864707","https://openalex.org/W4412995459","https://openalex.org/W4413160699"],"related_works":[],"abstract_inverted_index":{"Swarm":[0],"Intelligence":[1],"(SI)":[2],"has":[3,12,122],"become":[4],"a":[5,14,28,70,131],"strong":[6],"paradigm":[7],"for":[8],"numerical":[9],"optimization,":[10],"which":[11],"inspired":[13],"wide":[15],"range":[16],"of":[17,40,135,146],"metaheuristic":[18],"algorithms.":[19],"This":[20,63],"paper":[21],"presents":[22],"the":[23,84,144],"Hybrid":[24],"Mating":[25],"Optimization":[26],"(HMO),":[27],"novel":[29],"bio-inspired":[30],"algorithm":[31],"that":[32,89],"synergically":[33],"merges":[34],"four":[35],"mating":[36],"and":[37,57,75,94,106,118,127],"communication":[38],"behaviors":[39],"nature:":[41],"butterfly":[42],"pheromone":[43],"navigation":[44],"(global":[45],"exploration),":[46],"honeybee":[47],"foraging":[48],"(local":[49],"exploitation),":[50],"red":[51],"deer":[52],"dominance":[53],"selection":[54],"(adaptive":[55],"hierarchy),":[56],"woodpecker":[58],"rhythmic":[59],"perturbation":[60],"(diversity":[61],"preservation).":[62],"hybrid":[64],"mechanism":[65],"is":[66,111],"able":[67],"to":[68],"find":[69],"dynamic":[71],"balance":[72],"between":[73],"exploration":[74],"exploitation,":[76],"without":[77],"causing":[78],"premature":[79],"convergence.":[80],"Extensive":[81],"experiments":[82],"on":[83,139],"CEC-2017":[85],"benchmark":[86],"suite":[87],"show":[88],"HMO":[90,120,147],"can":[91],"converge":[92],"faster":[93],"obtain":[95],"higher":[96],"accuracy":[97],"than":[98],"state-of-the-art":[99],"algorithms":[100],"such":[101],"as":[102],"PSO,":[103],"DE,":[104],"EHO,":[105],"CMA-ES.":[107],"The":[108],"statistical":[109],"significance":[110],"further":[112],"verified":[113],"using":[114],"Wilcoxon":[115],"signed-rank":[116],"tests":[117],"t-tests.":[119],"also":[121],"scalability":[123],"both":[124],"in":[125,148],"unimodal":[126],"multimodal":[128],"environments.":[129],"Furthermore,":[130],"real-world":[132],"case":[133],"study":[134],"an":[136],"engineering":[137],"problem":[138],"pressure":[140],"vessel":[141],"design":[142],"validates":[143],"effectiveness":[145],"constrained":[149],"optimization":[150],"problems.":[151]},"counts_by_year":[],"updated_date":"2026-02-14T06:23:00.392402","created_date":"2026-01-22T00:00:00"}
