{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T00:20:56Z","timestamp":1759882856316,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,14]]},"DOI":"10.1145\/3712255.3726534","type":"proceedings-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T15:15:44Z","timestamp":1754925344000},"page":"119-122","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CRust_GP: A Framework for the Modular Construction and Evaluation of Cartesian Genetic Programming in Rust"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5483-5079","authenticated-orcid":false,"given":"Henning","family":"Cui","sequence":"first","affiliation":[{"name":"University of Augsburg, Augsburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0107-264X","authenticated-orcid":false,"given":"J\u00f6rg","family":"H\u00e4hner","sequence":"additional","affiliation":[{"name":"University of Augsburg, Augsburg, Germany"}]}],"member":"320","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-42664-x"},{"volume-title":"Parallel Problem Solving from Nature - PPSN XVIII, Michael Affenzeller, Stephan M","author":"Cui Henning","key":"e_1_3_2_1_2_1","unstructured":"Henning Cui, Michael Heider, and J\u00f6rg H\u00e4hner. 2024. Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. In Parallel Problem Solving from Nature - PPSN XVIII, Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tu\u0161ar, Penousal Machado, and Thomas B\u00e4ck (Eds.). Springer Nature Switzerland, Cham, 151\u2013167."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5220\/0012174100003595"},{"key":"e_1_3_2_1_4_1","unstructured":"Henning Cui Andreas Margraf and J\u00f6rg H\u00e4hner. 2024. Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. arXiv:2410.00518 [cs.NE] https:\/\/arxiv.org\/abs\/2410.00518"},{"key":"e_1_3_2_1_5_1","volume-title":"Cui","author":"Henning","year":"2022","unstructured":"Henning et al. Cui. 2022. Refining Mutation Variants in Cartesian Genetic Programming. In Bioinspired Optimization Methods and Their Applications (Cham), Marjan Mernik, Tome Eftimov, and Matej Črepin\u0161ek (Eds.). Springer International Publishing, 185\u2013200."},{"key":"e_1_3_2_1_6_1","volume-title":"De La Torre","author":"Camilo","year":"2024","unstructured":"Camilo et al. De La Torre. 2024. Multimodal Adaptive Graph Evolution for Program Synthesis. In Parallel Problem Solving from Nature - PPSN XVIII, Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tu\u0161ar, Penousal Machado, and Thomas B\u00e4ck (Eds.). Springer Nature Switzerland, Cham, 306\u2013321."},{"key":"e_1_3_2_1_7_1","unstructured":"Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44874-8"},{"key":"e_1_3_2_1_9_1","unstructured":"Carola Doerr et al. 2018. IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. arXiv e-prints:1810.05281 (oct 2018). arXiv:1810.05281 https:\/\/arxiv.org\/abs\/1810.05281"},{"key":"e_1_3_2_1_10_1","first-page":"2023","article-title":"A framework for modular construction and evaluation of metaheuristics","author":"Helena Stegherr","year":"2023","unstructured":"Helena Stegherr et al. 2023. A framework for modular construction and evaluation of metaheuristics. Technical Report 2023-01. Fakult\u00e4t f\u00fcr Angewandte Informatik. 25 pages.","journal-title":"Technical Report"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463372.2463482"},{"key":"e_1_3_2_1_12_1","volume-title":"Punch","author":"Goldman Brian W.","year":"2013","unstructured":"Brian W. Goldman and William F. Punch. 2013. Reducing Wasted Evaluations in Cartesian Genetic Programming. In Genetic Programming (Berlin, Heidelberg), Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. \u015eima Etaner-Uyar, and Bin Hu (Eds.). Springer Berlin Heidelberg, 61\u201372."},{"volume-title":"Genetic Programming (Cham), Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, and Pablo Garc\u00eda-S\u00e1nchez (Eds.)","author":"Husa Jakub","key":"e_1_3_2_1_13_1","unstructured":"Jakub Husa and Roman Kalkreuth. 2018. A Comparative Study on Crossover in Cartesian Genetic Programming. In Genetic Programming (Cham), Mauro Castelli, Lukas Sekanina, Mengjie Zhang, Stefano Cagnoni, and Pablo Garc\u00eda-S\u00e1nchez (Eds.). Springer International Publishing, 203\u2013219."},{"key":"e_1_3_2_1_14_1","unstructured":"Nikolay Ivanov. 2022. Is Rust C++-fast? Benchmarking System Languages on Everyday Routines. arXiv:2209.09127 [cs.PL] https:\/\/arxiv.org\/abs\/2209.09127"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5220\/0008070100820092"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5220\/0010110700590070"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3638529.3654092"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185492"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1162\/isal_a_00735"},{"key":"e_1_3_2_1_20_1","unstructured":"Sean Luke. 1998. ECJ Evolutionary Computation Library. https:\/\/cs.gmu.edu\/~eclab\/projects\/ecj\/"},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation -","volume":"2","author":"Miller Julian F.","year":"1999","unstructured":"Julian F. Miller. 1999. An Empirical Study of the Efficiency of Learning Boolean Functions Using a Cartesian Genetic Programming Approach. In Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation - Volume 2 (Orlando, Florida) (GECCO'99). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1135\u20131142."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-019-09360-6"},{"key":"e_1_3_2_1_23_1","volume-title":"Miragaia","author":"Rolando","year":"2018","unstructured":"Rolando et al. Miragaia. 2018. CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing. In Applications of Evolutionary Computation, Kevin Sim and Paul Kaufmann (Eds.). Springer International Publishing, Cham, 455\u2013471."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.585893"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583133.3596335"}],"event":{"name":"GECCO '25 Companion: Genetic and Evolutionary Computation Conference Companion","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"NH Malaga Hotel Malaga Spain","acronym":"GECCO '25 Companion"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3712255.3726534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T11:57:12Z","timestamp":1759838232000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3712255.3726534"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,14]]},"references-count":25,"alternative-id":["10.1145\/3712255.3726534","10.1145\/3712255"],"URL":"https:\/\/doi.org\/10.1145\/3712255.3726534","relation":{},"subject":[],"published":{"date-parts":[[2025,7,14]]},"assertion":[{"value":"2025-08-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}