{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:45Z","timestamp":1750219785459,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1145\/3583133.3595047","type":"proceedings-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T23:30:33Z","timestamp":1690241433000},"page":"1301-1330","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Modern Applications of Evolutionary Rule-based Machine Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3253-802X","authenticated-orcid":false,"given":"Abubakar","family":"Siddique","sequence":"first","affiliation":[{"name":"Wellington Institute of Technology, Te P\u016bkenga, Wellington, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8979-2224","authenticated-orcid":false,"given":"Will","family":"Browne","sequence":"additional","affiliation":[{"name":"Queensland University of Technology, Brisbane, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0487-5555","authenticated-orcid":false,"given":"Ryan","family":"Urbanowicz","sequence":"additional","affiliation":[{"name":"Cedars Sinai Medical Center, Los Angeles, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Cognitive systems based on adaptive algorithms reprinted in: Evolutionary computation. the fossil record,\" IEEE Press","author":"Holland J.","year":"1998","unstructured":"J. Holland and J. Reitman , \" Cognitive systems based on adaptive algorithms reprinted in: Evolutionary computation. the fossil record,\" IEEE Press , New York , 1998 . J. Holland and J. Reitman, \"Cognitive systems based on adaptive algorithms reprinted in: Evolutionary computation. the fossil record,\" IEEE Press, New York, 1998."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"e_1_3_2_1_3_1","volume-title":"Genetic algorithms in search, optimization and machine learning,\" Massachusetts: Addison-Wesley","author":"Holland D.","year":"1989","unstructured":"J. Holland and D. Goldberg , \" Genetic algorithms in search, optimization and machine learning,\" Massachusetts: Addison-Wesley , 1989 . J. Holland and D. Goldberg, \"Genetic algorithms in search, optimization and machine learning,\" Massachusetts: Addison-Wesley, 1989."},{"key":"e_1_3_2_1_4_1","unstructured":"Smith Stephen Frederick. \"A learning system based on genetic adaptive algorithms.\" (1980).  Smith Stephen Frederick. \"A learning system based on genetic adaptive algorithms.\" (1980)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022606404104"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.1.1"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1995.3.2.149"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2003.818194"},{"key":"e_1_3_2_1_9_1","volume-title":"American Medical Informatics Association","author":"Holmes H.","year":"1996","unstructured":"Holmes , John H. \"A genetics-based machine learning approach to knowledge discovery in clinical data.\" Proceedings of the AMIA Annual Fall Symposium . American Medical Informatics Association , 1996 . Holmes, John H. \"A genetics-based machine learning approach to knowledge discovery in clinical data.\" Proceedings of the AMIA Annual Fall Symposium. American Medical Informatics Association, 1996."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/646371.689029"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016535925043"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568239"},{"issue":"3","key":"e_1_3_2_1_13_1","first-page":"4","article-title":"An algorithmic description of XCS","volume":"6","author":"Butz S. W.","year":"2002","unstructured":"M. V. Butz and S. W. Wilson , \" An algorithmic description of XCS ,\" Soft Computing , vol. 6 , no. 3 -- 4 , pp. 144--153, 2002 . M. V. Butz and S. W. Wilson, \"An algorithmic description of XCS,\" Soft Computing, vol. 6, no. 3--4, pp. 144--153, 2002.","journal-title":"Soft Computing"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3154527"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Urbanowicz Ryan J. and Jason H. Moore. \"The application of michigan-style learning classifier systems to address genetic heterogeneity and epistasis in association studies.\" Proceedings of the 12th annual conference on Genetic and evolutionary computation. 2010.  Urbanowicz Ryan J. and Jason H. Moore. \"The application of michigan-style learning classifier systems to address genetic heterogeneity and epistasis in association studies.\" Proceedings of the 12th annual conference on Genetic and evolutionary computation. 2010.","DOI":"10.1145\/1830483.1830518"},{"key":"e_1_3_2_1_16_1","volume-title":"PPSN XI: 11th International Conference, Krak\u00f3w, Poland, September 11--15, 2010, Proceedings, Part I 11","author":"Urbanowicz J.","year":"2010","unstructured":"Urbanowicz , Ryan J. , and Jason H. Moore . \"The application of pittsburgh-style learning classifier systems to address genetic heterogeneity and epistasis in association studies.\" Parallel Problem Solving from Nature , PPSN XI: 11th International Conference, Krak\u00f3w, Poland, September 11--15, 2010, Proceedings, Part I 11 . Springer Berlin Heidelberg , 2010 . Urbanowicz, Ryan J., and Jason H. Moore. \"The application of pittsburgh-style learning classifier systems to address genetic heterogeneity and epistasis in association studies.\" Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Krak\u00f3w, Poland, September 11--15, 2010, Proceedings, Part I 11. Springer Berlin Heidelberg, 2010."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Urbanowicz Ryan J. Ambrose Granizo-Mackenzie and Jason H. Moore. \"An analysis pipeline with statistical and visualization-guided knowledge discovery for michigan-style learning classifier systems.\" IEEE computational intelligence magazine 7.4 (2012):  35--45.  Urbanowicz Ryan J. Ambrose Granizo-Mackenzie and Jason H. Moore. \"An analysis pipeline with statistical and visualization-guided knowledge discovery for michigan-style learning classifier systems.\" IEEE computational intelligence magazine 7.4 (2012): 35--45.","DOI":"10.1109\/MCI.2012.2215124"},{"key":"e_1_3_2_1_18_1","volume-title":"Taormina, Italy, September 1--5","author":"Urbanowicz J.","year":"2012","unstructured":"Urbanowicz , Ryan J. , Delaney Granizo-Mackenzie , and Jason H. Moore . \"Using expert knowledge to guide covering and mutation in a michigan style learning classifier system to detect epistasis and heterogeneity.\" Parallel Problem Solving from Nature-PPSN XII: 12th International Conference , Taormina, Italy, September 1--5 , 2012 , Proceedings, Part I 12. Springer Berlin Heidelberg , 2012. Urbanowicz, Ryan J., Delaney Granizo-Mackenzie, and Jason H. Moore. \"Using expert knowledge to guide covering and mutation in a michigan style learning classifier system to detect epistasis and heterogeneity.\" Parallel Problem Solving from Nature-PPSN XII: 12th International Conference, Taormina, Italy, September 1--5, 2012, Proceedings, Part I 12. Springer Berlin Heidelberg, 2012."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Urbanowicz Ryan Ambrose Granizo-Mackenzie and Jason Moore. \"Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems.\" Proceedings of the 14th annual conference on Genetic and evolutionary computation. 2012.  Urbanowicz Ryan Ambrose Granizo-Mackenzie and Jason Moore. \"Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems.\" Proceedings of the 14th annual conference on Genetic and evolutionary computation. 2012.","DOI":"10.1145\/2330163.2330291"},{"key":"e_1_3_2_1_20_1","volume-title":"strategies towards improved detection and characterization of complex associations.\" Proceedings of the Genetic and Evolutionary Computation Conference","author":"Urbanowicz J.","year":"2018","unstructured":"Urbanowicz , Ryan J. , Attribute tracking : strategies towards improved detection and characterization of complex associations.\" Proceedings of the Genetic and Evolutionary Computation Conference . 2018 . Urbanowicz, Ryan J., et al. \"Attribute tracking: strategies towards improved detection and characterization of complex associations.\" Proceedings of the Genetic and Evolutionary Computation Conference. 2018."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001574"},{"key":"e_1_3_2_1_22_1","volume-title":"Ljubljana, Slovenia, September 13--17","author":"Urbanowicz J.","year":"2014","unstructured":"Urbanowicz , Ryan J. , Gediminas Bertasius , and Jason H. Moore . \"An extended michigan-style learning classifier system for flexible supervised learning, classification, and data mining.\" Parallel Problem Solving from Nature-PPSN XIII: 13th International Conference , Ljubljana, Slovenia, September 13--17 , 2014 . Proceedings 13. Springer International Publishing , 2014. Urbanowicz, Ryan J., Gediminas Bertasius, and Jason H. Moore. \"An extended michigan-style learning classifier system for flexible supervised learning, classification, and data mining.\" Parallel Problem Solving from Nature-PPSN XIII: 13th International Conference, Ljubljana, Slovenia, September 13--17, 2014. Proceedings 13. Springer International Publishing, 2014."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-015-0128-8"},{"key":"e_1_3_2_1_24_1","unstructured":"Zhang Robert etal \"LCS-DIVE: An automated rule-based machine learning visualization pipeline for characterizing complex associations in classification.\" arXiv preprint arXiv:2104.12844 (2021)  Zhang Robert et al. \"LCS-DIVE: An automated rule-based machine learning visualization pipeline for characterizing complex associations in classification.\" arXiv preprint arXiv:2104.12844 (2021)"},{"key":"e_1_3_2_1_25_1","volume-title":"\"A scikit-learn compatible learning classifier system.\" Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","author":"Zhang F.","year":"2020","unstructured":"Zhang , Robert F. , and Ryan J. Urbanowicz . \"A scikit-learn compatible learning classifier system.\" Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion . 2020 . Zhang, Robert F., and Ryan J. Urbanowicz. \"A scikit-learn compatible learning classifier system.\" Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. 2020."},{"key":"e_1_3_2_1_26_1","volume-title":"Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison.\" Genetic Programming Theory and Practice XIX.","author":"Urbanowicz","year":"2023","unstructured":"Urbanowicz , Ryan, \" STREAMLINE: A Simple , Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison.\" Genetic Programming Theory and Practice XIX. Singapore : Springer Nature Singapore , 2023 . 201--231. Urbanowicz, Ryan, et al. \"STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison.\" Genetic Programming Theory and Practice XIX. Singapore: Springer Nature Singapore, 2023. 201--231."},{"key":"e_1_3_2_1_27_1","first-page":"395","volume-title":"Genet. Evol. Comput. Conf.","author":"Siddique W. N.","year":"2020","unstructured":"A. Siddique , W. N. Browne , and G. M. Grimshaw , \" Lateralized learning for robustness against adversarial attacks in a visual classification system,\" in Proc . Genet. Evol. Comput. Conf. , 2020 , pp. 395 -- 403 . A. Siddique, W. N. Browne, and G. M. Grimshaw, \"Lateralized learning for robustness against adversarial attacks in a visual classification system,\" in Proc. Genet. Evol. Comput. Conf., 2020, pp. 395--403."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3102241"},{"key":"e_1_3_2_1_29_1","volume-title":"Visualizations for rule-based machine learning. Natural Computing, 1--22","author":"Liu Y.","year":"2021","unstructured":"Liu , Y. , Browne , W. N. , & Xue , B. ( 2021 ). Visualizations for rule-based machine learning. Natural Computing, 1--22 . Liu, Y., Browne, W. N., & Xue, B. (2021). Visualizations for rule-based machine learning. Natural Computing, 1--22."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3321942"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3512290.3528767"},{"key":"e_1_3_2_1_32_1","first-page":"2201","volume-title":"IEEE Congr. Evol. Comput.","author":"Siddique M.","year":"2016","unstructured":"A. Siddique , M. Iqbal , and W. N. Browne , \" A comprehensive strategy for mammogram image classification using learning classifier systems,\" in Proc . IEEE Congr. Evol. Comput. , 2016 , pp. 2201 -- 2208 . A. Siddique, M. Iqbal, and W. N. Browne, \"A comprehensive strategy for mammogram image classification using learning classifier systems,\" in Proc. IEEE Congr. Evol. Comput., 2016, pp. 2201--2208."},{"key":"e_1_3_2_1_33_1","volume-title":"Learned action slam: Sharing slam through learned path planning information between heterogeneous robotic platforms. Applied Soft Computing, 50, 313--326","author":"Williams H.","year":"2017","unstructured":"Williams , H. , Browne , W. N. , & Carnegie , D. A. ( 2017 ). Learned action slam: Sharing slam through learned path planning information between heterogeneous robotic platforms. Applied Soft Computing, 50, 313--326 . Williams, H., Browne, W. N., & Carnegie, D. A. (2017). Learned action slam: Sharing slam through learned path planning information between heterogeneous robotic platforms. Applied Soft Computing, 50, 313--326."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3520304.3533664"},{"key":"e_1_3_2_1_35_1","volume-title":"Extending xcs with cyclic graphs for scalability on complex boolean problems. Evolutionary computation, 25(2), 173--204","author":"Iqbal M.","year":"2017","unstructured":"Iqbal , M. , Browne , W. N. , & Zhang , M. ( 2017 ). Extending xcs with cyclic graphs for scalability on complex boolean problems. Evolutionary computation, 25(2), 173--204 . Iqbal, M., Browne, W. N., & Zhang, M. (2017). Extending xcs with cyclic graphs for scalability on complex boolean problems. Evolutionary computation, 25(2), 173--204."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3166119"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3210872"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3520304.3534068"},{"key":"e_1_3_2_1_39_1","volume-title":"A comparison of learning classifier systems' rule compaction algorithms for knowledge visualization. ACM Transactions on Evolutionary Learning and Optimization, 1(3), 1--38","author":"Liu Y.","year":"2021","unstructured":"Liu , Y. , Browne , W. N. , & Xue , B. ( 2021 ). A comparison of learning classifier systems' rule compaction algorithms for knowledge visualization. ACM Transactions on Evolutionary Learning and Optimization, 1(3), 1--38 . Liu, Y., Browne, W. N., & Xue, B. (2021). A comparison of learning classifier systems' rule compaction algorithms for knowledge visualization. ACM Transactions on Evolutionary Learning and Optimization, 1(3), 1--38."},{"key":"e_1_3_2_1_40_1","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1630--1638)","author":"Bishop J. T.","year":"2021","unstructured":"Bishop , J. T. , Gallagher , M. , & Browne , W. N. ( 2021 , July). A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies . In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1630--1638) . Bishop, J. T., Gallagher, M., & Browne, W. N. (2021, July). A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1630--1638)."},{"key":"e_1_3_2_1_41_1","volume-title":"Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 296--303)","author":"Nguyen T. B.","year":"2021","unstructured":"Nguyen , T. B. , Browne , W. N. , & Zhang , M. ( 2021 , June) . Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 296--303) . IEEE. Nguyen, T. B., Browne, W. N., & Zhang, M. (2021, June). Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. In 2021 IEEE Congress on Evolutionary Computation (CEC) (pp. 296--303). IEEE."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377929.3398101"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389813"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390169"},{"key":"e_1_3_2_1_45_1","volume-title":"Learning optimality theory for accuracy-based learning classifier systems","author":"Nakata M.","year":"2020","unstructured":"Nakata , M. , & Browne , W. N. ( 2020 ). Learning optimality theory for accuracy-based learning classifier systems . IEEE Transactions on Evolutionary Computation , 25(1), 61--74. Nakata, M., & Browne, W. N. (2020). Learning optimality theory for accuracy-based learning classifier systems. IEEE Transactions on Evolutionary Computation, 25(1), 61--74."},{"key":"e_1_3_2_1_46_1","first-page":"469","volume-title":"Int. Conf. Appl. Evol. Comput. (Part EvoStar)","author":"Shehu A.","year":"2021","unstructured":"H. A. Shehu , A. Siddique , W. N. Browne , and H. Eisenbarth , \" Lateralized approach for robustness against attacks in emotion categorization from images,\" in Proc . Int. Conf. Appl. Evol. Comput. (Part EvoStar) , 2021 , pp. 469 -- 485 H. A. Shehu, A. Siddique, W. N. Browne, and H. Eisenbarth, \"Lateralized approach for robustness against attacks in emotion categorization from images,\" in Proc. Int. Conf. Appl. Evol. Comput. (Part EvoStar), 2021, pp. 469--485"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321719"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321751"},{"key":"e_1_3_2_1_49_1","volume-title":"dissertation","author":"Siddique","year":"2021","unstructured":"A. Siddique , \"Lateralized learning to solve complex problems,\" Ph . D. dissertation , Open Access Te Herenga Waka-Victoria University of Wellington , 2021 A. Siddique, \"Lateralized learning to solve complex problems,\" Ph.D. dissertation, Open Access Te Herenga Waka-Victoria University of Wellington, 2021"},{"key":"e_1_3_2_1_50_1","volume-title":"Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems","author":"Iqbal M.","year":"2013","unstructured":"Iqbal , M. , Browne , W. N. , & Zhang , M. ( 2013 ). Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems . IEEE Transactions on Evolutionary Computation , 18(4), 465--480. Iqbal, M., Browne, W. N., & Zhang, M. (2013). Reusing building blocks of extracted knowledge to solve complex, large-scale boolean problems. IEEE Transactions on Evolutionary Computation, 18(4), 465--480."},{"key":"e_1_3_2_1_51_1","volume-title":"Learning classifier systems for self-explaining socio-technical-systems. arXiv preprint arXiv:2207.02300","author":"Heider M.","year":"2022","unstructured":"Heider , M. , Stegherr , H. , Nordsieck , R. , & H\u00e4hner , J. ( 2022 ). Learning classifier systems for self-explaining socio-technical-systems. arXiv preprint arXiv:2207.02300 . Heider, M., Stegherr, H., Nordsieck, R., & H\u00e4hner, J. (2022). Learning classifier systems for self-explaining socio-technical-systems. arXiv preprint arXiv:2207.02300."},{"key":"e_1_3_2_1_52_1","volume-title":"Evol. Comput.","author":"Abubakar Siddique","year":"2016","unstructured":"Abubakar Siddique , Muhammad Iqbal, and Will N Browne . 2016 . A comprehensive strategy for mammogram image classification using learning classifier systems . In Evol. Comput. , 2016 IEEE Cong. on. IEEE, 2201--2208 Abubakar Siddique, Muhammad Iqbal, and Will N Browne. 2016. A comprehensive strategy for mammogram image classification using learning classifier systems. In Evol. Comput., 2016 IEEE Cong. on. IEEE, 2201--2208"},{"volume-title":"Sleep stage estimation by learning classifier system towards care support for aged persons. In 2009 ICCAS-SICE (pp. 2716--2721)","author":"Hirose K.","key":"e_1_3_2_1_53_1","unstructured":"Hirose , K. , Matsushima , H. , Hattori , K. , & Takadama , K. (2009, August ). Sleep stage estimation by learning classifier system towards care support for aged persons. In 2009 ICCAS-SICE (pp. 2716--2721) . IEEE. Hirose, K., Matsushima, H., Hattori, K., & Takadama, K. (2009, August). Sleep stage estimation by learning classifier system towards care support for aged persons. In 2009 ICCAS-SICE (pp. 2716--2721). IEEE."}],"event":{"name":"GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Lisbon Portugal","acronym":"GECCO '23 Companion"},"container-title":["Proceedings of the Companion Conference on Genetic and Evolutionary Computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3595047","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583133.3595047","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:50Z","timestamp":1750178270000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583133.3595047"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":53,"alternative-id":["10.1145\/3583133.3595047","10.1145\/3583133"],"URL":"https:\/\/doi.org\/10.1145\/3583133.3595047","relation":{},"subject":[],"published":{"date-parts":[[2023,7,15]]},"assertion":[{"value":"2023-07-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}