{"id":"https://openalex.org/W1970313453","doi":"https://doi.org/10.1145/2739480.2754733","title":"A Visual Method for Analysis and Comparison of Search Landscapes","display_name":"A Visual Method for Analysis and Comparison of Search Landscapes","publication_year":2015,"publication_date":"2015-07-07","ids":{"openalex":"https://openalex.org/W1970313453","doi":"https://doi.org/10.1145/2739480.2754733","mag":"1970313453"},"language":"en","primary_location":{"id":"doi:10.1145/2739480.2754733","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","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":[{"author_position":"first","author":{"id":"https://openalex.org/A5056542332","display_name":"Sebastian Volke","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Volke","raw_affiliation_strings":["Leipzig University, Leipzig, Germany","Leipzig University , Leipzig , Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Leipzig University , Leipzig , Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065373268","display_name":"Dirk Zeckzer","orcid":"https://orcid.org/0000-0002-0336-1640"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Zeckzer","raw_affiliation_strings":["Leipzig University, Leipzig, Germany","Leipzig University , Leipzig , Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Leipzig University , Leipzig , Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029336209","display_name":"Gerik Scheuermann","orcid":"https://orcid.org/0000-0001-5200-8870"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerik Scheuermann","raw_affiliation_strings":["Leipzig University, Leipzig, Germany","Leipzig University , Leipzig , Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Leipzig University , Leipzig , Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016253883","display_name":"Martin Middendorf","orcid":"https://orcid.org/0000-0002-5426-1092"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Middendorf","raw_affiliation_strings":["Leipzig University, Leipzig, Germany","Leipzig University , Leipzig , Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]},{"raw_affiliation_string":"Leipzig University , Leipzig , Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056542332"],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":1.7258,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88064271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.989300012588501,"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":0.989300012588501,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9779000282287598,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6297888159751892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148344874382019},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5624173283576965},{"id":"https://openalex.org/keywords/beam-search","display_name":"Beam search","score":0.54387366771698},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4773688018321991},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4547246992588043},{"id":"https://openalex.org/keywords/combinatorial-search","display_name":"Combinatorial search","score":0.4461902379989624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4178042411804199},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41532260179519653},{"id":"https://openalex.org/keywords/iterative-deepening-depth-first-search","display_name":"Iterative deepening depth-first search","score":0.4130893349647522},{"id":"https://openalex.org/keywords/search-problem","display_name":"Search problem","score":0.41199612617492676},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3168048560619354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.302835077047348},{"id":"https://openalex.org/keywords/incremental-heuristic-search","display_name":"Incremental heuristic search","score":0.2990568280220032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2578933835029602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2543365955352783}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6297888159751892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148344874382019},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5624173283576965},{"id":"https://openalex.org/C19889080","wikidata":"https://www.wikidata.org/wiki/Q2835852","display_name":"Beam search","level":3,"score":0.54387366771698},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4773688018321991},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4547246992588043},{"id":"https://openalex.org/C203208320","wikidata":"https://www.wikidata.org/wiki/Q5150830","display_name":"Combinatorial search","level":4,"score":0.4461902379989624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4178042411804199},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41532260179519653},{"id":"https://openalex.org/C14362708","wikidata":"https://www.wikidata.org/wiki/Q1675274","display_name":"Iterative deepening depth-first search","level":5,"score":0.4130893349647522},{"id":"https://openalex.org/C201789804","wikidata":"https://www.wikidata.org/wiki/Q2362762","display_name":"Search problem","level":2,"score":0.41199612617492676},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3168048560619354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.302835077047348},{"id":"https://openalex.org/C139979381","wikidata":"https://www.wikidata.org/wiki/Q17056021","display_name":"Incremental heuristic search","level":4,"score":0.2990568280220032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2578933835029602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2543365955352783},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739480.2754733","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739480.2754733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G378673260","display_name":null,"funder_award_id":"100098251","funder_id":"https://openalex.org/F4320338080","funder_display_name":"European Social Fund"}],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W12396050","https://openalex.org/W1483256023","https://openalex.org/W1493992103","https://openalex.org/W1503085769","https://openalex.org/W1546457065","https://openalex.org/W1591939288","https://openalex.org/W1680571683","https://openalex.org/W1882128745","https://openalex.org/W1981663184","https://openalex.org/W1993074521","https://openalex.org/W2011039300","https://openalex.org/W2016851559","https://openalex.org/W2042986967","https://openalex.org/W2053303771","https://openalex.org/W2063894623","https://openalex.org/W2079201812","https://openalex.org/W2106378689","https://openalex.org/W2131968264","https://openalex.org/W2132209717","https://openalex.org/W2153044299","https://openalex.org/W2163428398","https://openalex.org/W2166210809","https://openalex.org/W2205790212","https://openalex.org/W2219036994","https://openalex.org/W2339500526","https://openalex.org/W2620932964","https://openalex.org/W2752061190","https://openalex.org/W2752853835","https://openalex.org/W3122583070","https://openalex.org/W4232301616","https://openalex.org/W6834473044"],"related_works":["https://openalex.org/W4386269615","https://openalex.org/W2808808802","https://openalex.org/W2064794194","https://openalex.org/W2998661990","https://openalex.org/W3106196307","https://openalex.org/W2593395660","https://openalex.org/W2125033394","https://openalex.org/W4390091683","https://openalex.org/W2354057059","https://openalex.org/W134484048"],"abstract_inverted_index":{"Combinatorial":[0],"optimization":[1],"problems":[2,73],"and":[3,28,44,53,74,85,134,150],"corresponding":[4],"(meta-)heuristics":[5],"have":[6],"received":[7],"much":[8],"attention":[9],"in":[10,88,146],"the":[11,14,26,29,46,89,95,101,106,112,119,130,132,135,147,154,157],"literature.":[12],"Especially,":[13],"structural":[15],"or":[16],"topological":[17,107],"analysis":[18,40,62,108],"of":[19,31,72,114,156],"search":[20,32,75,90,96,102,115,127,143,148,158],"landscapes":[21,149],"is":[22,41,48,79],"important":[23],"for":[24,34,160],"evaluating":[25],"applicability":[27],"performance":[30],"operators":[33,128,144],"a":[35,55,60,69],"given":[36],"problem.":[37],"However,":[38],"this":[39],"often":[42],"tedious":[43],"usually":[45],"focus":[47],"on":[49,81,129],"one":[50],"specific":[51],"problem":[52],"only":[54],"few":[56],"operators.":[57,76],"We":[58,117],"present":[59],"visual":[61],"method":[63,78,120],"that":[64],"can":[65,163],"be":[66,164],"applied":[67],"to":[68,124],"wide":[70],"variety":[71],"The":[77,92],"based":[80],"steepest":[82],"descent":[83],"walks":[84],"shortest":[86],"distances":[87],"landscape.":[91],"visualization":[93],"shows":[94],"landscape":[97],"as":[98,109,111],"seen":[99],"by":[100,121],"algorithm.":[103],"It":[104],"supports":[105],"well":[110],"comparison":[113],"landscapes.":[116],"showcase":[118],"applying":[122],"it":[123],"two":[125],"different":[126,161],"TSP,":[131],"QAP,":[133],"SMTTP.":[136],"Our":[137],"results":[138],"show":[139],"how":[140,151],"differences":[141],"between":[142],"manifest":[145],"conclusions":[152],"about":[153],"suitability":[155],"operator":[159],"optimizations":[162],"drawn.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}