{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T16:20:31Z","timestamp":1769444431702,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T00:00:00Z","timestamp":1530835200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IB15001"],"award-info":[{"award-number":["01IB15001"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,6]]},"DOI":"10.1145\/3205651.3208277","type":"proceedings-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T19:30:44Z","timestamp":1530905444000},"page":"1268-1275","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming"],"prefix":"10.1145","author":[{"given":"Daniel","family":"Hein","sequence":"first","affiliation":[{"name":"Siemens AG, Corporate Technology, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Udluft","sequence":"additional","affiliation":[{"name":"Siemens AG, Corporate Technology, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas A.","family":"Runkler","sequence":"additional","affiliation":[{"name":"Siemens AG, Corporate Technology, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 1st annual conference on genetic programming. MIT Press, 255--260","author":"Alba E.","unstructured":"E. Alba , C. Cotta , and J.M. Troya . 1996. Type-constrained genetic programming for rule-base definition in fuzzy logic controllers . In Proceedings of the 1st annual conference on genetic programming. MIT Press, 255--260 . E. Alba, C. Cotta, and J.M. Troya. 1996. Type-constrained genetic programming for rule-base definition in fuzzy logic controllers. In Proceedings of the 1st annual conference on genetic programming. MIT Press, 255--260."},{"key":"e_1_3_2_1_2_1","first-page":"109","article-title":"Evolutionary design of fuzzy logic controllers using strongly-typed GP","volume":"6","author":"Alba E.","year":"1999","unstructured":"E. Alba , C. Cotta , and J.M. Troya . 1999 . Evolutionary design of fuzzy logic controllers using strongly-typed GP . Mathware and Soft Computing 6 , 1 (1999), 109 -- 124 . E. Alba, C. Cotta, and J.M. Troya. 1999. Evolutionary design of fuzzy logic controllers using strongly-typed GP. Mathware and Soft Computing 6, 1 (1999), 109--124.","journal-title":"Mathware and Soft Computing"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.12.020"},{"key":"e_1_3_2_1_4_1","unstructured":"T. Blickle and L. Thiele. 1995. A Mathematical Analysis of Tournament Selection. In ICGA. 9--16.   T. Blickle and L. Thiele. 1995. A Mathematical Analysis of Tournament Selection. In ICGA. 9--16."},{"key":"e_1_3_2_1_5_1","unstructured":"L. Busoniu R. Babuska B. De Schutter and D. Ernst. 2010. Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC Press.   L. Busoniu R. Babuska B. De Schutter and D. Ernst. 2010. Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC Press."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0957-4174(02)00025-8"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"O. Cord\u00f3n F. Gomide F. Herrera F. Hoffmann and L. Magdalena. 2004. Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy sets and systems 141 1 (2004) 5--31.  O. Cord\u00f3n F. Gomide F. Herrera F. Hoffmann and L. Magdalena. 2004. Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy sets and systems 141 1 (2004) 5--31.","DOI":"10.1016\/S0165-0114(03)00111-8"},{"key":"e_1_3_2_1_8_1","unstructured":"S. Depeweg J.M. Hern\u00e1ndez-Lobato F. Doshi-Velez and S. Udluft. 2016. Learning and policy search in stochastic dynamical systems with Bayesian neural networks. arXiv preprint arXiv: 1605.07127 (2016).  S. Depeweg J.M. Hern\u00e1ndez-Lobato F. Doshi-Velez and S. Udluft. 2016. Learning and policy search in stochastic dynamical systems with Bayesian neural networks. arXiv preprint arXiv: 1605.07127 (2016)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"I. Fantoni and R. Lozano. 2002. Non-linear control for underactuated mechanical systems. Springer.   I. Fantoni and R. Lozano. 2002. Non-linear control for underactuated mechanical systems. Springer.","DOI":"10.1007\/978-1-4471-0177-2"},{"key":"e_1_3_2_1_10_1","volume-title":"Fuzzy Rule-Based Expert Systems and Genetic Machine Learning","author":"Geyer-Schulz A.","year":"1995","unstructured":"A. Geyer-Schulz . 1995. Fuzzy Rule-Based Expert Systems and Genetic Machine Learning . Physica-Verlag , Heidelberg ( 1995 ). A. Geyer-Schulz. 1995. Fuzzy Rule-Based Expert Systems and Genetic Machine Learning. Physica-Verlag, Heidelberg (1995)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"D. Hein S. Depeweg M. Tokic S. Udluft A. Hentschel T.A. Runkler and V. Sterzing. 2017. A benchmark environment motivated by industrial control problems. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 1--8.  D. Hein S. Depeweg M. Tokic S. Udluft A. Hentschel T.A. Runkler and V. Sterzing. 2017. A benchmark environment motivated by industrial control problems. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). 1--8.","DOI":"10.1109\/SSCI.2017.8280935"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSIR.2016070102"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.07.005"},{"key":"e_1_3_2_1_14_1","first-page":"401","article-title":"Particle swarm optimization for model predictive control in reinforcement learning environments. In Critical Developments and Applications of Swarm Intelligence, Y. Shi (Ed.). IGI Global, Hershey, PA, USA","volume":"16","author":"Hein D.","year":"2018","unstructured":"D. Hein , A. Hentschel , T.A. Runkler , and S. Udluft . 2018 . Particle swarm optimization for model predictive control in reinforcement learning environments. In Critical Developments and Applications of Swarm Intelligence, Y. Shi (Ed.). IGI Global, Hershey, PA, USA , Chapter 16 , 401 -- 427 . D. Hein, A. Hentschel, T.A. Runkler, and S. Udluft. 2018. Particle swarm optimization for model predictive control in reinforcement learning environments. In Critical Developments and Applications of Swarm Intelligence, Y. Shi (Ed.). IGI Global, Hershey, PA, USA, Chapter 16, 401--427.","journal-title":"Chapter"},{"key":"e_1_3_2_1_15_1","volume-title":"2017 International Joint Conference on Neural Networks (IJCNN). 4214--4221","author":"Hein D.","unstructured":"D. Hein , S. Udluft , M. Tokic , A. Hentschel , T. A. Runkler , and V. Sterzing . 2017. Batch reinforcement learning on the industrial benchmark: First experiences . In 2017 International Joint Conference on Neural Networks (IJCNN). 4214--4221 . D. Hein, S. Udluft, M. Tokic, A. Hentschel, T. A. Runkler, and V. Sterzing. 2017. Batch reinforcement learning on the industrial benchmark: First experiences. In 2017 International Joint Conference on Neural Networks (IJCNN). 4214--4221."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0255(01)00139-6"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the IEEE International Joint Conference on Neural Networks (1995)","author":"Kennedy J.","unstructured":"J. Kennedy and R.C. Eberhart . 1995. Particle swarm optimization . Proceedings of the IEEE International Joint Conference on Neural Networks (1995) , 1942--1948. J. Kennedy and R.C. Eberhart. 1995. Particle swarm optimization. Proceedings of the IEEE International Joint Conference on Neural Networks (1995), 1942--1948."},{"key":"e_1_3_2_1_18_1","volume-title":"Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on. IEEE","author":"Koshiyama A.S.","unstructured":"A.S. Koshiyama , T. Escovedo , M.M.B.R. Vellasco , and R. Tanscheit . 2014. GPFIS-Control: A fuzzy Genetic model for Control tasks . In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on. IEEE , 1953--1959. A.S. Koshiyama, T. Escovedo, M.M.B.R. Vellasco, and R. Tanscheit. 2014. GPFIS-Control: A fuzzy Genetic model for Control tasks. In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on. IEEE, 1953--1959."},{"key":"e_1_3_2_1_19_1","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"Koza J.R.","year":"1992","unstructured":"J.R. Koza . 1992 . Genetic Programming: On the Programming of Computers by Means of Natural Selection . MIT Press , Cambridge, MA, USA . J.R. Koza. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, USA."},{"key":"e_1_3_2_1_20_1","volume-title":"Evolutionary Computation (CEC), 2016 IEEE Congress on. IEEE, 2409--2416","author":"Le N.","unstructured":"N. Le , H.N. Xuan , A. Brabazon , and T.P. Thi . 2016. Complexity measures in Genetic Programming learning: A brief review . In Evolutionary Computation (CEC), 2016 IEEE Congress on. IEEE, 2409--2416 . N. Le, H.N. Xuan, A. Brabazon, and T.P. Thi. 2016. Complexity measures in Genetic Programming learning: A brief review. In Evolutionary Computation (CEC), 2016 IEEE Congress on. IEEE, 2409--2416."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"F. Maes R. Fonteneau L. Wehenkel and D. Ernst. 2012. Policy search in a space of simple closed-form formulas: towards interpretability of reinforcement learning. Discovery Science (2012) 37--50.  F. Maes R. Fonteneau L. Wehenkel and D. Ernst. 2012. Policy search in a space of simple closed-form formulas: towards interpretability of reinforcement learning. Discovery Science (2012) 37--50.","DOI":"10.1007\/978-3-642-33492-4_6"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(75)80002-2"},{"key":"e_1_3_2_1_24_1","first-page":"2","article-title":"A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction","volume":"7","author":"Ramos L.S.","year":"2000","unstructured":"L.S. Ramos and J.A.C. Gonz\u00e1lez . 2000 . A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction . Mathware and Soft Computing 7 , 2 -- 3 (2000), 337--350. L.S. Ramos and J.A.C. Gonz\u00e1lez. 2000. A niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction. Mathware and Soft Computing 7, 2--3 (2000), 337--350.","journal-title":"Mathware and Soft Computing"},{"key":"e_1_3_2_1_25_1","volume-title":"Gaussian processes for machine learning (adaptive computation and machine learning)","author":"Rasmussen E.","unstructured":"E. Rasmussen and C.K.I. Williams . 2006. Gaussian processes for machine learning (adaptive computation and machine learning) . Mit Press Ltd . E. Rasmussen and C.K.I. Williams. 2006. Gaussian processes for machine learning (adaptive computation and machine learning). Mit Press Ltd."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0255(01)00146-3"},{"key":"e_1_3_2_1_27_1","volume-title":"Numerical optimization of computer models","author":"Schwefel H.-P.","unstructured":"H.-P. Schwefel . 1981. Numerical optimization of computer models . John Wiley & Sons, Inc. H.-P. Schwefel. 1981. Numerical optimization of computer models. John Wiley & Sons, Inc."},{"key":"e_1_3_2_1_28_1","unstructured":"H.-P. Schwefel. 1995. Evolution and optimum seeking. Sixth-generation computer technology series. (1995).   H.-P. Schwefel. 1995. Evolution and optimum seeking. Sixth-generation computer technology series. (1995)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"R.S. Sutton and A.G. Barto. 1998. Reinforcement learning: an introduction. A Bradford book.   R.S. Sutton and A.G. Barto. 1998. Reinforcement learning: an introduction. A Bradford book.","DOI":"10.1109\/TNN.1998.712192"},{"key":"e_1_3_2_1_30_1","volume-title":"Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on","volume":"1","author":"Tesmer M.","unstructured":"M. Tesmer and P.A. Est\u00e9vez . 2004. AMIFS: Adaptive feature selection by using mutual information . In Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on , Vol. 1 . IEEE, 303--308. M. Tesmer and P.A. Est\u00e9vez. 2004. AMIFS: Adaptive feature selection by using mutual information. In Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, Vol. 1. IEEE, 303--308."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.12.099"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1080\/10798587.1996.10750674"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.159070"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"}],"event":{"name":"GECCO '18: Genetic and Evolutionary Computation Conference","location":"Kyoto Japan","acronym":"GECCO '18","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"]},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3208277","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3205651.3208277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:14Z","timestamp":1750212434000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3205651.3208277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,6]]},"references-count":33,"alternative-id":["10.1145\/3205651.3208277","10.1145\/3205651"],"URL":"https:\/\/doi.org\/10.1145\/3205651.3208277","relation":{},"subject":[],"published":{"date-parts":[[2018,7,6]]},"assertion":[{"value":"2018-07-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}