{"id":"https://openalex.org/W2163349927","doi":"https://doi.org/10.1109/cec.2007.4424680","title":"LisBON: A framework for parallelisation and hybridisation of optimisation algorithms","display_name":"LisBON: A framework for parallelisation and hybridisation of optimisation algorithms","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2163349927","doi":"https://doi.org/10.1109/cec.2007.4424680","mag":"2163349927"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2007.4424680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","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/A5029270613","display_name":"Christoph D\u00fcrr","orcid":"https://orcid.org/0000-0001-8103-5333"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"C. Durr","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038093455","display_name":"Tim F\u00fchner","orcid":"https://orcid.org/0000-0002-5381-285X"},"institutions":[{"id":"https://openalex.org/I4210148684","display_name":"Fraunhofer Institute for Integrated Systems and Device Technology","ror":"https://ror.org/04q5rka56","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210148684","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Fuhner","raw_affiliation_strings":["Fraunhofer IISB, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer IISB, Erlangen, Germany","institution_ids":["https://openalex.org/I4210148684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025626208","display_name":"Ponnuthurai Nagaratnam Suganthan","orcid":"https://orcid.org/0000-0003-0901-5105"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"P. N. Suganthan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21420842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1717","last_page":"1724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.996999979019165,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8508657217025757},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.8493969440460205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585580110549927},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.626156747341156},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6049150228500366},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.5981402397155762},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5205872654914856},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5195049047470093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5095124840736389},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48945653438568115},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4777476191520691},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4651167690753937},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4422297477722168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25258922576904297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2069651186466217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1943342089653015}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8508657217025757},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.8493969440460205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585580110549927},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.626156747341156},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6049150228500366},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.5981402397155762},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5205872654914856},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5195049047470093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5095124840736389},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48945653438568115},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4777476191520691},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4651167690753937},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4422297477722168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25258922576904297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2069651186466217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1943342089653015},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2007.4424680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-170943","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-170943.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IISB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/357571","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/357571","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W18216792","https://openalex.org/W63064086","https://openalex.org/W93405014","https://openalex.org/W180797010","https://openalex.org/W1497256448","https://openalex.org/W1525815666","https://openalex.org/W1554755917","https://openalex.org/W1555689267","https://openalex.org/W1570906644","https://openalex.org/W1571463341","https://openalex.org/W1589918049","https://openalex.org/W1659842140","https://openalex.org/W1994998632","https://openalex.org/W2066335675","https://openalex.org/W2122510010","https://openalex.org/W2134693673","https://openalex.org/W2149416133","https://openalex.org/W2154047522","https://openalex.org/W2171074980","https://openalex.org/W2624262714","https://openalex.org/W3144659726","https://openalex.org/W3217198200","https://openalex.org/W4247100129","https://openalex.org/W6607453073","https://openalex.org/W6631511973","https://openalex.org/W7071448755"],"related_works":["https://openalex.org/W2163647484","https://openalex.org/W47248985","https://openalex.org/W2000270779","https://openalex.org/W2129486222","https://openalex.org/W3144175025","https://openalex.org/W1778024729","https://openalex.org/W2042716007","https://openalex.org/W2043816158","https://openalex.org/W1587473980","https://openalex.org/W1980841486"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"LisBON,":[3,71],"a":[4,49,96,122],"novel":[5],"framework":[6],"for":[7,34],"distributed,":[8],"hybrid":[9,54,133],"optimisation":[10,40],"algorithms.":[11,69],"LisBON":[12,108],"aims":[13],"at":[14],"simplifying":[15],"the":[16,86,105,117,131,139],"development":[17],"of":[18,22,37,52,89,107,145],"memetic":[19,123],"algorithms-a":[20],"combination":[21],"heuristic,":[23],"population-based":[24],"search":[25,60],"approaches":[26],"with":[27],"local":[28,59],"optimisers.":[29],"Moreover,":[30],"LisBON\u2019s":[31],"design":[32,106],"allows":[33],"an":[35,115,149],"integration":[36],"virtually":[38],"any":[39],"algorithm.":[41],"It":[42,127],"could":[43],"hence":[44],"be":[45,93],"used":[46],"to":[47,77,120,137],"implement":[48],"large":[50],"variety":[51],"different":[53,81],"approaches,":[55],"multiple-restart":[56],"methods":[57],"in":[58,67,95,143],"routines,":[61],"and":[62,65,109],"multiple":[63],"populations":[64],"meta-evolution":[66],"evolutionary":[68],"With":[70],"it":[72],"is":[73,128,135],"not":[74],"only":[75],"possible":[76],"distribute":[78],"optimisers":[79],"onto":[80],"computing":[82],"nodes,":[83],"but":[84],"also":[85],"concurrent":[87],"evaluation":[88],"merit":[90],"functions":[91],"can":[92],"defined":[94],"straight":[97],"forward":[98],"manner.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103],"present":[104],"its":[110],"key":[111],"components.":[112],"Furthermore,":[113],"as":[114],"example,":[116],"steps":[118],"required":[119],"develop":[121],"algorithm":[124,142],"are":[125],"explained.":[126],"shown":[129],"that":[130],"obtained":[132],"method":[134],"able":[136],"outperform":[138],"underlying":[140],"genetic":[141],"terms":[144],"convergence":[146],"speed":[147],"on":[148],"established":[150],"benchmark":[151],"function":[152],"(Griewangk).":[153]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
