{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T01:36:57Z","timestamp":1782783417221,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T00:00:00Z","timestamp":1657238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP190103894, FT200100536"],"award-info":[{"award-number":["DP190103894, FT200100536"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,8]]},"DOI":"10.1145\/3512290.3528755","type":"proceedings-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T13:59:57Z","timestamp":1658152797000},"page":"832-839","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Coevolutionary Pareto diversity optimization"],"prefix":"10.1145","author":[{"given":"Aneta","family":"Neumann","sequence":"first","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denis","family":"Antipov","sequence":"additional","affiliation":[{"name":"ITMO University, St. Petersburg, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank","family":"Neumann","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Adelaide, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390172"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459364"},{"key":"e_1_3_2_1_3_1","volume-title":"EMO","author":"Carrano Eduardo G.","year":"2021","unstructured":"Eduardo G. Carrano , Felipe Campelo , and Ricardo H. C. Takahashi . 2021. Diversity-driven selection operator for combinatorial optimization. In Evolutionary Multi-Criterion Optimization , EMO 2021 . Springer, 178--190. Eduardo G. Carrano, Felipe Campelo, and Ricardo H. C. Takahashi. 2021. Diversity-driven selection operator for combinatorial optimization. In Evolutionary Multi-Criterion Optimization, EMO 2021. Springer, 178--190."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389844"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3071178.3071301"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00003"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00159"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00274"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0190(99)00031-9"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00453-012-9660-4"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01588971"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459385"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205532"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321796"},{"key":"e_1_3_2_1_16_1","volume-title":"PPSN","author":"Neumann Aneta","year":"2020","unstructured":"Aneta Neumann and Frank Neumann . 2020 . Optimising monotone chance-constrained submodular functions using evolutionary multi-objective algorithms. In Parallel Problem Solving from Nature , PPSN 2020. Springer, 404--417. Aneta Neumann and Frank Neumann. 2020. Optimising monotone chance-constrained submodular functions using evolutionary multi-objective algorithms. In Parallel Problem Solving from Nature, PPSN 2020. Springer, 404--417."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11047-006-9004-x"},{"key":"e_1_3_2_1_18_1","volume-title":"Nguyen and Thang Bui","author":"ThanhVu","year":"2018","unstructured":"ThanhVu H. Nguyen and Thang Bui . 2018 . Benchmark instances. Available at: https:\/\/unsat.github.io\/npbench\/. ThanhVu H. Nguyen and Thang Bui. 2018. Benchmark instances. Available at: https:\/\/unsat.github.io\/npbench\/."},{"key":"e_1_3_2_1_19_1","first-page":"1","article-title":"Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. In Foundations of Genetic Algorithms, FOGA 2021","volume":"9","author":"Nikfarjam Adel","year":"2021","unstructured":"Adel Nikfarjam , Jakob Bossek , Aneta Neumann , and Frank Neumann . 2021 . Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. In Foundations of Genetic Algorithms, FOGA 2021 . ACM , 9 : 1 -- 9 :11. Adel Nikfarjam, Jakob Bossek, Aneta Neumann, and Frank Neumann. 2021. Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. In Foundations of Genetic Algorithms, FOGA 2021. ACM, 9:1--9:11.","journal-title":"ACM"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459384"},{"key":"e_1_3_2_1_21_1","volume-title":"PPSN","author":"Pugh Justin K.","year":"2016","unstructured":"Justin K. Pugh , Lisa B. Soros , and Kenneth O. Stanley . 2016. Searching for quality diversity when diversity is unaligned with quality. In Parallel Problem Solving from Nature , PPSN 2016 . Springer, 880--889. Justin K. Pugh, Lisa B. Soros, and Kenneth O. Stanley. 2016. Searching for quality diversity when diversity is unaligned with quality. In Parallel Problem Solving from Nature, PPSN 2016. Springer, 880--889."},{"key":"e_1_3_2_1_22_1","volume-title":"Genetic and Evolutionary Computation Conference, GECCO","author":"Pugh Justin K.","year":"2015","unstructured":"Justin K. Pugh , Lisa B. Soros , Paul A. Szerlip , and Kenneth O. Stanley . 2015. Confronting the challenge of quality diversity . In Genetic and Evolutionary Computation Conference, GECCO 2015 . ACM, 967--974. Justin K. Pugh, Lisa B. Soros, Paul A. Szerlip, and Kenneth O. Stanley. 2015. Confronting the challenge of quality diversity. In Genetic and Evolutionary Computation Conference, GECCO 2015. ACM, 967--974."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/364"},{"key":"e_1_3_2_1_24_1","volume-title":"NIPS","author":"Qian Chao","year":"2015","unstructured":"Chao Qian , Yang Yu , and Zhi-Hua Zhou . 2015 . Subset selection by Pareto optimization. In Neural Information Processing Systems - Volume 1 , NIPS 2015. 1774--1782. Chao Qian, Yang Yu, and Zhi-Hua Zhou. 2015. Subset selection by Pareto optimization. In Neural Information Processing Systems - Volume 1, NIPS 2015. 1774--1782."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557961"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603766646816"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001665"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2013.6557559"},{"key":"e_1_3_2_1_29_1","volume-title":"Genetic and Evolutionary Computation Conference, GECCO","author":"Xie Yue","year":"2020","unstructured":"Yue Xie , Aneta Neumann , and Frank Neumann . 2020 . Specific single- and multiobjective evolutionary algorithms for the chance-constrained knapsack problem . In Genetic and Evolutionary Computation Conference, GECCO 2020. ACM, 271--279. Yue Xie, Aneta Neumann, and Frank Neumann. 2020. Specific single- and multiobjective evolutionary algorithms for the chance-constrained knapsack problem. In Genetic and Evolutionary Computation Conference, GECCO 2020. ACM, 271--279."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10066"},{"key":"e_1_3_2_1_31_1","volume-title":"Evolutionary learning: Advances in theories and algorithms","author":"Zhou Zhi-Hua","unstructured":"Zhi-Hua Zhou , Yang Yu , and Chao Qian . 2019. Evolutionary learning: Advances in theories and algorithms . Springer . Zhi-Hua Zhou, Yang Yu, and Chao Qian. 2019. Evolutionary learning: Advances in theories and algorithms. Springer."}],"event":{"name":"GECCO '22: Genetic and Evolutionary Computation Conference","location":"Boston Massachusetts","acronym":"GECCO '22","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512290.3528755","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512290.3528755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:30Z","timestamp":1750186830000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512290.3528755"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,8]]},"references-count":31,"alternative-id":["10.1145\/3512290.3528755","10.1145\/3512290"],"URL":"https:\/\/doi.org\/10.1145\/3512290.3528755","relation":{},"subject":[],"published":{"date-parts":[[2022,7,8]]},"assertion":[{"value":"2022-07-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}