{"id":"https://openalex.org/W6912367248","doi":"https://doi.org/10.5281/zenodo.16888246","title":"MEALPY: An open-source library for latest meta-heuristic algorithms in Python","display_name":"MEALPY: An open-source library for latest meta-heuristic algorithms in Python","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W6912367248","doi":"https://doi.org/10.5281/zenodo.16888246"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.16888246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16888246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.16888246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Van Thieu, Nguyen","orcid":"https://orcid.org/0000-0001-9994-8747"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Van Thieu, Nguyen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9994-8747","affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Mirjalili, Seyedali","orcid":"https://orcid.org/0000-0002-1599-3573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mirjalili, Seyedali","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1599-3573","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.1712000072002411,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.1712000072002411,"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":0.05889999866485596,"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":0.054499998688697815,"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/python","display_name":"Python (programming language)","score":0.589900016784668},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.5078999996185303},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.40700000524520874},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.37470000982284546},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.35190001130104065},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.31779998540878296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848999857902527},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6527000069618225},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.589900016784668},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.34220001101493835},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C139571649","wikidata":"https://www.wikidata.org/wiki/Q1156793","display_name":"Program optimization","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.16888246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16888246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.16888246","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16888246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"General":[0],"Updates":[1],"Updated":[2,15],"project":[3],"configuration":[4],"files:":[5],"setup.py,":[6],"requirements.txt,":[7],"and":[8,17,165,191,196],"MANIFEST.in.":[9],"Restructured":[10],"README":[11],"for":[12,71,209],"better":[13],"clarity.":[14],"examples":[16],"docs":[18],"with":[19,156],"new":[20,69,126],"usage":[21],"guides.":[22],"Changed":[23],"license":[24,206],"from":[25,74],"GPL":[26],"GNU":[27],"v3":[28],"to":[29,207],"MIT.":[30],"Bug":[31],"Fixes":[32],"Fixed":[33,40,50],"n_workers":[34],"bug":[35,41],"in":[36,42,48,57,201],"the":[37,166,202],"Optimizer":[38,99,117,123,143],"class.":[39,59,158],"parallel":[43],"mode":[44],"when":[45],"passing":[46],"starting_positions":[47],"Optimizer.":[49],"incorrect":[51],"handling":[52],"of":[53],"fitness":[54],"as":[55],"position":[56],"AO":[58],"New":[60,63,86],"Features":[61],"1.":[62],"Algorithm":[64,139],"Categories":[65],"sota_based":[66],"group:":[67],"A":[68],"category":[70],"state-of-the-art":[72],"algorithms":[73],"CEC":[75],"competitions.":[76],"Added":[77,81,88,91,102,120,125,150,162,172],"LSHADEcnEpSin":[78],"(OriginalLSHADEcnEpSin":[79],"class).":[80,84],"IMOTE":[82],"(OriginalIMOTE":[83],"2.":[85],"Modules":[87],"chaotic":[89],"module.":[90,93],"fuzzy":[92],"3.":[94],"Swarm-Based":[95],"Algorithms":[96,149,161],"Grey":[97],"Wolf":[98],"(GWO)":[100],"module:":[101,119],"multiple":[103],"variants:":[104],"GWO_WOA,":[105],"IGWO,":[106],"ChaoticGWO,":[107],"FuzzyGWO,":[108],"IncrementalGWO,":[109],"ExGWO,":[110],"DS_GWO,":[111],"IOBL_GWO,":[112],"OGWO,":[113],"ER_GWO,":[114],"CG_GWO.":[115],"Aquila":[116,122],"(AO)":[118],"Adaptive":[121],"(AAO).":[124],"standalone":[127],"algorithms:":[128],"Emperor":[129],"Penguins":[130],"Colony":[131],"(EPC).":[132],"Spider":[133],"Monkey":[134],"Optimization":[135,153,176],"(SMO).":[136],"Squirrel":[137],"Search":[138],"(SquirrelSA).":[140],"Fitness":[141],"Dependent":[142],"(FDO)":[144],"(FDO":[145],"module).":[146,171,179],"4.":[147],"Physics-Based":[148],"Electrical":[151],"Storm":[152],"(ESO)":[154],"module":[155],"OriginalESO":[157],"5.":[159],"Human-Based":[160],"Ali":[163],"Baba":[164],"Forty":[167],"Thieves":[168],"(AFT)":[169],"(AFT":[170],"Child":[173],"Drawing":[174],"Development":[175],"(CCDO)":[177],"(CCDO":[178],"\u2705":[180],"This":[181],"release":[182],"focuses":[183],"on:":[184],"Expanding":[185],"algorithm":[186],"coverage":[187],"(swarm-based,":[188],"physics-based,":[189],"human-based,":[190],"sota-based":[192],"groups).":[193],"Improving":[194],"documentation":[195],"examples.":[197],"Fixing":[198],"critical":[199],"bugs":[200],"optimizer":[203],"core.":[204],"Transitioning":[205],"MIT":[208],"broader":[210],"usage.":[211]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}