{"id":"https://openalex.org/W1925170655","doi":"https://doi.org/10.1109/ijcnn.2004.1380989","title":"Traffic engineering in multi-service networks comparing genetic and simulated annealing optimization techniques","display_name":"Traffic engineering in multi-service networks comparing genetic and simulated annealing optimization techniques","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W1925170655","doi":"https://doi.org/10.1109/ijcnn.2004.1380989","mag":"1925170655"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380989","pdf_url":null,"source":{"id":"https://openalex.org/S4363608206","display_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat No 04CH37541) IJCNN-04","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat No 04CH37541) IJCNN-04","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.1224457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2325","last_page":"2330 vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9961000084877014,"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/T10847","display_name":"Advanced Optical Network Technologies","score":0.9925000071525574,"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/simulated-annealing","display_name":"Simulated annealing","score":0.6618221402168274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5992755889892578},{"id":"https://openalex.org/keywords/annealing","display_name":"Annealing (glass)","score":0.46206673979759216},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44886669516563416},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4103170931339264},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20548996329307556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1334880292415619}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6618221402168274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992755889892578},{"id":"https://openalex.org/C2777855556","wikidata":"https://www.wikidata.org/wiki/Q4339544","display_name":"Annealing (glass)","level":2,"score":0.46206673979759216},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44886669516563416},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4103170931339264},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20548996329307556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1334880292415619},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380989","pdf_url":null,"source":{"id":"https://openalex.org/S4363608206","display_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat No 04CH37541) IJCNN-04","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat No 04CH37541) IJCNN-04","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1661188838","https://openalex.org/W1823143263","https://openalex.org/W1964565132","https://openalex.org/W1965068506","https://openalex.org/W2106334424","https://openalex.org/W2141011016","https://openalex.org/W2142183404","https://openalex.org/W2169528473","https://openalex.org/W2544218582","https://openalex.org/W2752885492","https://openalex.org/W2753693129","https://openalex.org/W4322358105","https://openalex.org/W6638415377","https://openalex.org/W6680997597"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W1585212810","https://openalex.org/W2353965122"],"abstract_inverted_index":{"Three":[0],"new":[1],"methods":[2,99,140],"for":[3,53,56,77,131,206],"the":[4,7,30,33,50,61,64,78,81,97,124,128,132,172,176,191,199,202,207,229],"solution":[5,79],"of":[6,80,96,110,123,178,201,223,225,231],"offline":[8],"traffic":[9,144,194],"engineering.":[10],"(TE)":[11],"problem":[12,36,66,83,196],"in":[13,108,143,175,190,228],"multi-service":[14],"networks":[15],"based":[16,153],"on":[17,127,154],"genetic":[18,135,155,210,232],"optimisation":[19,41,104],"and":[20,27,46,86,115,137,212],"simulated":[21,70,138,213],"annealing":[22,139,214],"optimization":[23,136,156,182,211],"techniques":[24,168,215],"are":[25,119,141,171,216],"presented":[26],"compared.":[28],"In":[29,60,147],"first":[31,133,208],"method,":[32],"off-line":[34],"TE":[35,89],"is":[37,67,91,106,157,204],"formulated":[38],"as":[39,186],"an":[40],"model":[42],"with":[43,159],"linear":[44,166,179,184],"constraints":[45,185],"then":[47],"solved":[48,68],"using":[49,69],"Genetic":[51],"Algorithm":[52],"Numerical":[54],"Optimisation":[55],"Constraint":[57],"Problems":[58],"(GENOCOP).":[59],"second":[62],"method":[63,76,105,152],"same":[65],"annealing.":[71],"Besides,":[72],"a":[73,87,101,149],"third":[74],"hybrid":[75,151],"aforementioned":[82],"involving":[84],"GENOCOP":[85],"heuristic":[88],"algorithm":[90],"also":[92],"provided.":[93,120],"The":[94,121],"performance":[95,160],"above":[98],"against":[100],"standard":[102],"LP-based":[103],"examined":[107],"terms":[109],"two":[111],"different":[112],"network":[113],"topologies":[114],"numerical":[116],"test":[117],"results":[118],"contribution":[122,200],"paper":[125,203],"lies":[126],"fact":[129],"that":[130,163,205],"time":[134,209],"involved":[142],"engineering":[145,195],"problems.":[146],"addition,":[148],"novel":[150],"proposed":[158,193],"comparable":[161],"to":[162,218],"obtained":[164],"by":[165],"programming":[167],"(Simplex),":[169],"which":[170],"optimum":[173],"solvers":[174],"case":[177,230],"cost":[180],"functions":[181],"under":[183],"it":[187],"takes":[188],"place":[189],"herein":[192],"formulations.":[197],"Finally,":[198],"used":[217],"solve":[219],"real":[220],"world":[221],"problems":[222],"thousands":[224],"variables,":[226],"achieving":[227],"algorithms,":[233],"near":[234],"optimal":[235],"results.":[236]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
