{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:36:57Z","timestamp":1742985417999,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031779145"},{"type":"electronic","value":"9783031779152"}],"license":[{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-77915-2_18","type":"book-chapter","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T11:54:43Z","timestamp":1732794883000},"page":"253-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Tree-Based Genetic Programming for\u00a0Evolutionary Analog Circuit with\u00a0Approximate Shapley Value"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2053-6924","authenticated-orcid":false,"given":"Xinming","family":"Shi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2639-0671","authenticated-orcid":false,"given":"Leandro L.","family":"Minku","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8837-4442","authenticated-orcid":false,"given":"Xin","family":"Yao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,29]]},"reference":[{"key":"18_CR1","unstructured":"Allen, P.E., Holberg, D.R.: CMOS analog circuit design. Elsevier (2011)"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Beadle, L., Johnson, C.G.: Semantically driven crossover in genetic programming. In: 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 111\u2013116. IEEE (2008)","DOI":"10.1109\/CEC.2008.4630784"},{"key":"18_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77954-4","volume-title":"Models in Cooperative Game Theory","author":"R Branzei","year":"2008","unstructured":"Branzei, R., Dimitrov, D., Tijs, S.: Models in Cooperative Game Theory, vol. 556. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-77954-4"},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1016\/j.asoc.2017.09.036","volume":"62","author":"F Castej\u00f3n","year":"2018","unstructured":"Castej\u00f3n, F., Carmona, E.J.: Automatic design of analog electronic circuits using grammatical evolution. Appl. Soft Comput. 62, 1003\u20131018 (2018)","journal-title":"Appl. Soft Comput."},{"key":"18_CR5","doi-asserted-by":"crossref","unstructured":"Ffrancon, R., Schoenauer, M.: Memetic semantic genetic programming. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 1023\u20131030 (2015)","DOI":"10.1145\/2739480.2754697"},{"issue":"3","key":"18_CR6","doi-asserted-by":"publisher","first-page":"1887","DOI":"10.1016\/j.eswa.2009.07.013","volume":"37","author":"Z Gan","year":"2010","unstructured":"Gan, Z., Yang, Z., Shang, T., Yu, T., Jiang, M.: Automated synthesis of passive analog filters using graph representation. Expert Syst. Appl. 37(3), 1887\u20131898 (2010)","journal-title":"Expert Syst. Appl."},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Gelfand, A.E., Dey, D.K., Chang, H.: Model determination using predictive distributions with implementation via sampling-based methods. Department of Statistics, Stanford University CA, Technical report (1992)","DOI":"10.1093\/oso\/9780198522669.003.0009"},{"key":"18_CR8","unstructured":"Ghorbani, A., Zou, J.: Data shapley: equitable valuation of data for machine learning. In: International Conference on Machine Learning, pp. 2242\u20132251. PMLR (2019)"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Grimbleby, J.B.: Automatic analogue network synthesis using genetic algorithms. In: Proceedings of GALESIA 1995, Sheffield, pp. 53\u201358 (1995)","DOI":"10.1049\/cp:19951024"},{"issue":"4","key":"18_CR10","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1007\/s10710-019-09369-x","volume":"21","author":"J He","year":"2020","unstructured":"He, J., Yin, J.: Evolutionary design model of passive filter circuit for practical application. Genet. Program Evolvable Mach. 21(4), 571\u2013604 (2020)","journal-title":"Genet. Program Evolvable Mach."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Hodan, D., Mrazek, V., Vasicek, Z.: Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pp. 940\u2013948 (2020)","DOI":"10.1145\/3377930.3390188"},{"key":"18_CR12","unstructured":"Jia, R., et al.: Towards efficient data valuation based on the shapley value. In: The 22nd International Conference on Artificial Intelligence and Statistics, pp. 1167\u20131176. PMLR (2019)"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Koza, J.R., Andre, D., Bennett\u00a0III, F.H., Keane, M.A.: Use of automatically defined functions and architecture-altering operations in automated circuit synthesis with genetic programming. In: Proceedings of 1st Annual Conference on Genetic Programming, Stanford, pp. 132\u2013140 (1996)","DOI":"10.7551\/mitpress\/3242.003.0019"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Koza, J.R., Andre, D., Keane, M.A., Bennett\u00a0III, F.H.: Genetic Programming III: Darwinian Invention and Problem Solving, vol.\u00a03. Morgan Kaufmann (1999)","DOI":"10.1109\/TEVC.1999.788530"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Krawiec, K., Wieloch, B.: Functional modularity for genetic programming. In: Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, pp. 995\u20131002 (2009)","DOI":"10.1145\/1569901.1570037"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Kruiskamp, W., Leenaerts, D.: Darwin: CMOS opamp synthesis by means of a genetic algorithm. In: Proceedings of 32nd DAC 1995, San Francisco, pp. 433\u2013438 (1995)","DOI":"10.1145\/217474.217566"},{"issue":"2","key":"18_CR17","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.vlsi.2008.04.003","volume":"42","author":"B Liu","year":"2009","unstructured":"Liu, B., et al.: Analog circuit optimization system based on hybrid evolutionary algorithms. Integration 42(2), 137\u2013148 (2009)","journal-title":"Integration"},{"issue":"3","key":"18_CR18","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1109\/4235.788491","volume":"3","author":"JD Lohn","year":"1999","unstructured":"Lohn, J.D., Colombano, S.P.: A circuit representation technique for automated circuit design. IEEE Trans. Evol. Comput. 3(3), 205\u2013219 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR19","unstructured":"Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 4768\u20134777 (2017)"},{"issue":"5","key":"18_CR20","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1109\/TEVC.2006.886801","volume":"11","author":"C Mattiussi","year":"2007","unstructured":"Mattiussi, C., Floreano, D.: Analog genetic encoding for the evolution of circuits and networks. IEEE Trans. Evol. Comput. 11(5), 596\u2013607 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Moraglio, A., Krawiec, K.: Geometric semantic genetic programming for recursive boolean programs. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 993\u20131000 (2017)","DOI":"10.1145\/3071178.3071266"},{"key":"18_CR22","unstructured":"Nagel, L., Pederson, D.O.: Spice (simulation program with integrated circuit emphasis) (1973)"},{"key":"18_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/978-3-642-01181-8_25","volume-title":"Genetic Programming","author":"QU Nguyen","year":"2009","unstructured":"Nguyen, Q.U., Nguyen, X.H., O\u2019Neill, M.: Semantic aware crossover for genetic programming: the case for real-valued function regression. In: Vanneschi, L., Gustafson, S., Moraglio, A., De Falco, I., Ebner, M. (eds.) EuroGP 2009. LNCS, vol. 5481, pp. 292\u2013302. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-01181-8_25"},{"issue":"2","key":"18_CR24","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1162\/evco_a_00205","volume":"26","author":"TP Pawlak","year":"2018","unstructured":"Pawlak, T.P., Krawiec, K.: Competent geometric semantic genetic programming for symbolic regression and boolean function synthesis. Evol. Comput. 26(2), 177\u2013212 (2018)","journal-title":"Evol. Comput."},{"key":"18_CR25","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511528446","volume-title":"The Shapley Value: Essays in Honor of Lloyd S. Shapley","author":"AE Roth","year":"1988","unstructured":"Roth, A.E.: The Shapley Value: Essays in Honor of Lloyd S. Shapley. Cambridge University Press, Cambridge (1988)"},{"key":"18_CR26","doi-asserted-by":"crossref","unstructured":"Shi, X., Gao, J., Minku, L.L., Yao, X.: Evolving parsimonious circuits through shapley value-based genetic programming. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 602\u2013605 (2022)","DOI":"10.1145\/3520304.3529032"},{"issue":"4","key":"18_CR27","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/s10710-022-09436-w","volume":"23","author":"X Shi","year":"2022","unstructured":"Shi, X., Minku, L.L., Yao, X.: A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit. Genet. Program Evolvable Mach. 23(4), 453\u2013493 (2022)","journal-title":"Genet. Program Evolvable Mach."},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.procs.2018.07.257","volume":"126","author":"J Stier","year":"2018","unstructured":"Stier, J., Gianini, G., Granitzer, M., Ziegler, K.: Analysing neural network topologies: a game theoretic approach. Procedia Comput. Sci. 126, 234\u2013243 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"18_CR29","unstructured":"Vogt, H., Hendrix, M., Nenzi, P.: Ngspice user\u2019s manual version 31 (describes ngspice release version) (2019)"},{"issue":"12","key":"18_CR30","doi-asserted-by":"publisher","first-page":"4325","DOI":"10.1109\/TCAD.2020.2977605","volume":"39","author":"Z Zhao","year":"2020","unstructured":"Zhao, Z., Zhang, L.: An automated topology synthesis framework for analog integrated circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12), 4325\u20134337 (2020)","journal-title":"IEEE Trans. Comput. Aided Des. Integr. Circuits Syst."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XLI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77915-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T12:11:45Z","timestamp":1732795905000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77915-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,29]]},"ISBN":["9783031779145","9783031779152"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77915-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,29]]},"assertion":[{"value":"29 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"44","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}