{"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":1750219785578,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":44,"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\/3583133.3595033","type":"proceedings-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T23:30:33Z","timestamp":1690241433000},"page":"1069-1098","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Generative Hyper-heuristics"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8233-7701","authenticated-orcid":false,"given":"Daniel R.","family":"Tauritz","sequence":"first","affiliation":[{"name":"Auburn University, Auburn, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2093-8990","authenticated-orcid":false,"given":"John R.","family":"Woodward","sequence":"additional","affiliation":[{"name":"Loughborough University, Loughborough, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,24]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"871","volume-title":"Woodward. Computable and Incomputable Search Algorithms and Functions. IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS 2009","author":"John","year":"2009","unstructured":"John Woodward. Computable and Incomputable Search Algorithms and Functions. IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS 2009 ), pp. 871 -- 875 , 2009 . John Woodward. Computable and Incomputable Search Algorithms and Functions. IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS 2009), pp. 871--875, 2009."},{"key":"e_1_3_2_1_2_1","first-page":"1","volume-title":"Woodward. The Necessity of Meta Bias in Search Algorithms. International Conference on Computational Intelligence and Software Engineering (CiSE)","author":"John","year":"2010","unstructured":"John Woodward. The Necessity of Meta Bias in Search Algorithms. International Conference on Computational Intelligence and Software Engineering (CiSE) , pp. 1 -- 4 , 2010 . John Woodward. The Necessity of Meta Bias in Search Algorithms. International Conference on Computational Intelligence and Software Engineering (CiSE), pp. 1--4, 2010."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1543834.1543915"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-013-9201-8"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-013-9186-9"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00044"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2010.2041061"},{"key":"e_1_3_2_1_8_1","first-page":"177","volume-title":"Ender Ozcan and John R. Woodward. Exploring Hyper-heuristic Methodologies with Genetic Programming","author":"Burke Edmund K.","year":"2009","unstructured":"Edmund K. Burke , Matthew R. Hyde , Graham Kendall , Gabriela Ochoa , Ender Ozcan and John R. Woodward. Exploring Hyper-heuristic Methodologies with Genetic Programming , Computational Intelligence : Collaboration, Fusion and Emergence, In C. Mumford and L. Jain (eds.), Intelligent Systems Reference Library, Springer , pp. 177 -- 201 , 2009 . Edmund K. Burke, Matthew R. Hyde, Graham Kendall, Gabriela Ochoa, Ender Ozcan and John R. Woodward. Exploring Hyper-heuristic Methodologies with Genetic Programming, Computational Intelligence: Collaboration, Fusion and Emergence, In C. Mumford and L. Jain (eds.), Intelligent Systems Reference Library, Springer, pp. 177--201, 2009."},{"key":"e_1_3_2_1_9_1","first-page":"2530","volume-title":"Graham Kendall and John R. Woodward. The Scalability of Evolved On Line Bin Packing Heuristics. In Proceedings of the IEEE Congress on Evolutionary Computation","author":"Burke Edmund K.","year":"2007","unstructured":"Edmund K. Burke , Matthew Hyde , Graham Kendall and John R. Woodward. The Scalability of Evolved On Line Bin Packing Heuristics. In Proceedings of the IEEE Congress on Evolutionary Computation , pp. 2530 -- 2537 , 2007 . Edmund K. Burke, Matthew Hyde, Graham Kendall and John R. Woodward. The Scalability of Evolved On Line Bin Packing Heuristics. In Proceedings of the IEEE Congress on Evolutionary Computation, pp. 2530--2537, 2007."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2007.4424926"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277273"},{"key":"e_1_3_2_1_12_1","first-page":"1437","volume-title":"Metaheuristic Design Patterns (MetaDeeP) workshop, GECCO Comp'14","author":"John","year":"2014","unstructured":"John R. Woodward and Jerry Swan. Template Method Hyper-heuristics , Metaheuristic Design Patterns (MetaDeeP) workshop, GECCO Comp'14 , pp. 1437 -- 1438 , 2014 . John R. Woodward and Jerry Swan. Template Method Hyper-heuristics, Metaheuristic Design Patterns (MetaDeeP) workshop, GECCO Comp'14, pp. 1437--1438, 2014."},{"key":"e_1_3_2_1_13_1","first-page":"1373","volume-title":"4th Workshop on Automatic Design of Algorithms (ECADA), GECCO Comp '14","author":"Saemundur","year":"2014","unstructured":"Saemundur O. Haraldsson and John R. Woodward, Automated Design of Algorithms and Genetic Improvement: Contrast and Commonalities , 4th Workshop on Automatic Design of Algorithms (ECADA), GECCO Comp '14 , pp. 1373 -- 1380 , 2014 . Saemundur O. Haraldsson and John R. Woodward, Automated Design of Algorithms and Genetic Improvement: Contrast and Commonalities, 4th Workshop on Automatic Design of Algorithms (ECADA), GECCO Comp '14, pp. 1373--1380, 2014."},{"key":"e_1_3_2_1_14_1","first-page":"1397","volume-title":"4th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp '14","author":"Woodward John R.","year":"2014","unstructured":"John R. Woodward , Simon P. Martin and Jerry Swan. Benchmarks That Matter For Genetic Programming , 4th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp '14 , pp. 1397 -- 1404 , 2014 . John R. Woodward, Simon P. Martin and Jerry Swan. Benchmarks That Matter For Genetic Programming, 4th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp '14, pp. 1397--1404, 2014."},{"key":"e_1_3_2_1_15_1","first-page":"67","volume-title":"2nd Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp' 12","author":"John","year":"2012","unstructured":"John R. Woodward and Jerry Swan. The Automatic Generation of Mutation Operators for Genetic Algorithms , 2nd Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp' 12 , pp. 67 -- 74 , 2012 . John R. Woodward and Jerry Swan. The Automatic Generation of Mutation Operators for Genetic Algorithms, 2nd Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), GECCO Comp' 12, pp. 67--74, 2012."},{"key":"e_1_3_2_1_16_1","first-page":"583","volume-title":"Woodward and Jerry Swan. Automatically Designing Selection Heuristics. 1st Workshop on Evolutionary Computation for Designing Generic Algorithms","author":"John","year":"2011","unstructured":"John R. Woodward and Jerry Swan. Automatically Designing Selection Heuristics. 1st Workshop on Evolutionary Computation for Designing Generic Algorithms , pp. 583 -- 590 , 2011 . John R. Woodward and Jerry Swan. Automatically Designing Selection Heuristics. 1st Workshop on Evolutionary Computation for Designing Generic Algorithms, pp. 583--590, 2011."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-1665-5_15"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37207-0_8"},{"key":"e_1_3_2_1_19_1","first-page":"63","volume-title":"Proceedings of CEC 2007 - IEEE Congress on Evolutionary Computation","author":"Ekaterina","year":"2007","unstructured":"Ekaterina A. Smorodkina and Daniel R. Tauritz. Toward Automating EA Configuration: the Parent Selection Stage . In Proceedings of CEC 2007 - IEEE Congress on Evolutionary Computation , pp. 63 -- 70 , 2007 . Ekaterina A. Smorodkina and Daniel R. Tauritz. Toward Automating EA Configuration: the Parent Selection Stage. In Proceedings of CEC 2007 - IEEE Congress on Evolutionary Computation, pp. 63--70, 2007."},{"key":"e_1_3_2_1_20_1","first-page":"575","volume-title":"Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '11)","author":"Brian","year":"2011","unstructured":"Brian W. Goldman and Daniel R. Tauritz. Self-Configuring Crossover . In Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '11) , pp. 575 -- 582 , 2011 . Brian W. Goldman and Daniel R. Tauritz. Self-Configuring Crossover. In Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '11), pp. 575--582, 2011."},{"key":"e_1_3_2_1_21_1","first-page":"1497","volume-title":"Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '13)","author":"Matthew","year":"2013","unstructured":"Matthew A. Martin and Daniel R. Tauritz. Evolving Black-Box Search Algorithms Employing Genetic Programming . In Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '13) , pp. 1497 -- 1504 , 2013 . Matthew A. Martin and Daniel R. Tauritz. Evolving Black-Box Search Algorithms Employing Genetic Programming. In Proceedings of the 15th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '13), pp. 1497--1504, 2013."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2464576.2482727"},{"key":"e_1_3_2_1_23_1","first-page":"1389","volume-title":"Proceedings of the 16th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '14)","author":"Matthew","year":"2014","unstructured":"Matthew A. Martin and Daniel R. Tauritz. A Problem Configuration Study of the Robustness of a Black-Box Search Algorithm Hyper-Heuristic . In Proceedings of the 16th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '14) , pp. 1389 -- 1396 , 2014 . Matthew A. Martin and Daniel R. Tauritz. A Problem Configuration Study of the Robustness of a Black-Box Search Algorithm Hyper-Heuristic. In Proceedings of the 16th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '14), pp. 1389--1396, 2014."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.2172\/1177599"},{"key":"e_1_3_2_1_25_1","first-page":"1051","volume-title":"Proceedings of the 17th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '15)","author":"Matthew","year":"2015","unstructured":"Matthew A. Martin and Daniel R. Tauritz. Hyper-Heuristics: A Study On Increasing Primitive-Space . In Proceedings of the 17th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '15) , pp. 1051 -- 1058 , 2015 . Matthew A. Martin and Daniel R. Tauritz. Hyper-Heuristics: A Study On Increasing Primitive-Space. In Proceedings of the 17th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '15), pp. 1051--1058, 2015."},{"key":"e_1_3_2_1_26_1","first-page":"1359","volume-title":"Proceedings of the 18th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '16)","author":"Alex","year":"2016","unstructured":"Alex R. Bertels and Daniel R. Tauritz. Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study . In Proceedings of the 18th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '16) , pp. 1359 -- 1365 , 2016 . Alex R. Bertels and Daniel R. Tauritz. Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study. In Proceedings of the 18th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '16), pp. 1359--1365, 2016."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2016.7849929"},{"key":"e_1_3_2_1_28_1","volume-title":"Daniel R. Tauritz and Alexander D. Kent. Evolving Multi-level Graph Partitioning Algorithms. In Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016)","author":"Pope Aaron S.","year":"2016","unstructured":"Aaron S. Pope , Daniel R. Tauritz and Alexander D. Kent. Evolving Multi-level Graph Partitioning Algorithms. In Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) , 2016 . Aaron S. Pope, Daniel R. Tauritz and Alexander D. Kent. Evolving Multi-level Graph Partitioning Algorithms. In Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), 2016."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3082056"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3084210"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8280953"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/PIC.2010.5687448"},{"key":"e_1_3_2_1_33_1","first-page":"1545","volume-title":"Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018","author":"Samuel","year":"2018","unstructured":"Samuel N. Richter and Daniel R. Tauritz. The Automated Design of Probabilistic Selection Methods for Evolutionary Algorithms . In Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018 ), pp. 1545 -- 1552 , 2018 . Samuel N. Richter and Daniel R. Tauritz. The Automated Design of Probabilistic Selection Methods for Evolutionary Algorithms. In Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018), pp. 1545--1552, 2018."},{"key":"e_1_3_2_1_34_1","first-page":"1680","volume-title":"Kent. Automated Design of Network Security Metrics. In Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018","author":"Pope Aaron Scott","year":"2018","unstructured":"Aaron Scott Pope , Robert Morning , Daniel R. Tauritz , and Alexander D . Kent. Automated Design of Network Security Metrics. In Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018 ), pp. 1680 -- 1687 , 2018 . Aaron Scott Pope, Robert Morning, Daniel R. Tauritz, and Alexander D. Kent. Automated Design of Network Security Metrics. In Proceedings of the 20th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO 2018), pp. 1680--1687, 2018."},{"key":"e_1_3_2_1_35_1","first-page":"585","volume-title":"Proceedings of the first ACM\/SIGEVO Summit on Genetic and Evolutionary Computation","author":"John","year":"2009","unstructured":"John R. Woodward and Ruibin Bai. Canonical representation genetic programming . In Proceedings of the first ACM\/SIGEVO Summit on Genetic and Evolutionary Computation , pp. 585 -- 592 , 2009 . John R. Woodward and Ruibin Bai. Canonical representation genetic programming. In Proceedings of the first ACM\/SIGEVO Summit on Genetic and Evolutionary Computation, pp. 585--592, 2009."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3082517"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3326861"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Adam Harter Aaron Scott Pope Daniel R. Tauritz and Chris Rawlings. Empirical Evidence of the Effectiveness of Primitive Granularity Control for Hyper-Heuristics. In Proceedings of the 21st Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '19) pp. 1478--1486 2019.  Adam Harter Aaron Scott Pope Daniel R. Tauritz and Chris Rawlings. Empirical Evidence of the Effectiveness of Primitive Granularity Control for Hyper-Heuristics. In Proceedings of the 21st Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '19) pp. 1478--1486 2019.","DOI":"10.1145\/3319619.3326860"},{"key":"e_1_3_2_1_39_1","first-page":"1504","volume-title":"Chris Rawlings. Automated Design of Random Dynamic Graph Models. In Proceedings of the 21st Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '19)","author":"Pope Aaron Scott","year":"2019","unstructured":"Aaron Scott Pope , Daniel R. Tauritz , and Chris Rawlings. Automated Design of Random Dynamic Graph Models. In Proceedings of the 21st Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '19) , pp. 1504 -- 1512 , 2019 . Aaron Scott Pope, Daniel R. Tauritz, and Chris Rawlings. Automated Design of Random Dynamic Graph Models. In Proceedings of the 21st Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '19), pp. 1504--1512, 2019."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319619.3326827"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389819"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377929.3398131"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377929.3398132"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449639.3459328"}],"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\/3583133.3595033","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583133.3595033","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\/3583133.3595033"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":44,"alternative-id":["10.1145\/3583133.3595033","10.1145\/3583133"],"URL":"https:\/\/doi.org\/10.1145\/3583133.3595033","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"}}]}}