{"id":"https://openalex.org/W4323643611","doi":"https://doi.org/10.1007/978-3-031-27250-9_21","title":"Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with\u00a0Precise Pareto Sets","display_name":"Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with\u00a0Precise Pareto Sets","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323643611","doi":"https://doi.org/10.1007/978-3-031-27250-9_21"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-27250-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27250-9_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5024294898","display_name":"Lennart Sch\u00e4permeier","orcid":"https://orcid.org/0000-0003-3929-7465"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lennart Sch\u00e4permeier","raw_affiliation_strings":["Big Data Analytics in Transportation, TU Dresden & ScaDS.AI, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3929-7465","affiliations":[{"raw_affiliation_string":"Big Data Analytics in Transportation, TU Dresden & ScaDS.AI, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008455153","display_name":"Pascal Kerschke","orcid":"https://orcid.org/0000-0003-2862-1418"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pascal Kerschke","raw_affiliation_strings":["Big Data Analytics in Transportation, TU Dresden & ScaDS.AI, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2862-1418","affiliations":[{"raw_affiliation_string":"Big Data Analytics in Transportation, TU Dresden & ScaDS.AI, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003026076","display_name":"Christian Grimme","orcid":"https://orcid.org/0000-0002-8608-8773"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Grimme","raw_affiliation_strings":["Data Science: Statistics and Optimization, University of M\u00fcnster, M\u00fcnster, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8608-8773","affiliations":[{"raw_affiliation_string":"Data Science: Statistics and Optimization, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084825454","display_name":"Heike Trautmann","orcid":"https://orcid.org/0000-0002-9788-8282"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heike Trautmann","raw_affiliation_strings":["Data Science: Statistics and Optimization, University of M\u00fcnster, M\u00fcnster, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9788-8282","affiliations":[{"raw_affiliation_string":"Data Science: Statistics and Optimization, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024294898"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.9571,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83092056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"291","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8882596492767334},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.826077938079834},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7800300121307373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7613415718078613},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.7013108730316162},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.599934995174408},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4781514108181},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4761362373828888},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4114685654640198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17830497026443481},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17654970288276672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13967987895011902},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07645943760871887}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8882596492767334},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.826077938079834},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7800300121307373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613415718078613},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7013108730316162},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.599934995174408},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4781514108181},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4761362373828888},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4114685654640198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17830497026443481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17654970288276672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13967987895011902},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07645943760871887},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-27250-9_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-27250-9_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W74931915","https://openalex.org/W1525375343","https://openalex.org/W1945195796","https://openalex.org/W2008002935","https://openalex.org/W2102365077","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2291672276","https://openalex.org/W2468065612","https://openalex.org/W2670904616","https://openalex.org/W2894081182","https://openalex.org/W2902145053","https://openalex.org/W2933307200","https://openalex.org/W2947446743","https://openalex.org/W2962791072","https://openalex.org/W3034148056","https://openalex.org/W3038891809","https://openalex.org/W3135761440","https://openalex.org/W3192676429","https://openalex.org/W4224861422","https://openalex.org/W4285805411","https://openalex.org/W4291270643","https://openalex.org/W4312050975"],"related_works":["https://openalex.org/W2073298047","https://openalex.org/W1963790170","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2033790662","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W317165722"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}