{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T10:04:01Z","timestamp":1755597841049,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T00:00:00Z","timestamp":1624665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"EPSRC","award":["EP\/S022325\/1"],"award-info":[{"award-number":["EP\/S022325\/1"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,26]]},"DOI":"10.1145\/3449639.3459287","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T17:51:58Z","timestamp":1624297918000},"page":"678-686","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Expressivity of parameterized and data-driven representations in quality diversity search"],"prefix":"10.1145","author":[{"given":"Alexander","family":"Hagg","sequence":"first","affiliation":[{"name":"Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany"}]},{"given":"Sebastian","family":"Berns","sequence":"additional","affiliation":[{"name":"Queen Mary University of London, London, United Kingdom"}]},{"given":"Alexander","family":"Asteroth","sequence":"additional","affiliation":[{"name":"Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany"}]},{"given":"Simon","family":"Colton","sequence":"additional","affiliation":[{"name":"Queen Mary University of London, London, United Kingdom"}]},{"given":"Thomas","family":"B\u00e4ck","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced, Leiden, The Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2021,6,26]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of ICCC.","author":"Berns Sebastian","year":"2020","unstructured":"Sebastian Berns and Simon Colton . 2020 . Bridging Generative Deep Learning and Computational Creativity . In Proceedings of ICCC. Sebastian Berns and Simon Colton. 2020. Bridging Generative Deep Learning and Computational Creativity. In Proceedings of ICCC."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2018.8698539"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1002"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of SimAUD.","author":"Bradner Erin","year":"2014","unstructured":"Erin Bradner , Francesco Iorio , and Mark Davis . 2014 . Parameters Tell the Design Story: Ideation and Abstraction in Design Optimization . In Proceedings of SimAUD. Erin Bradner, Francesco Iorio, and Mark Davis. 2014. Parameters Tell the Design Story: Ideation and Abstraction in Design Optimization. In Proceedings of SimAUD."},{"key":"e_1_3_2_1_5_1","volume-title":"Understanding Disentangling in Beta-VAE. In NIPS Workshop on Learning Disentangled Representations.","author":"Burgess Christopher P.","year":"2017","unstructured":"Christopher P. Burgess , Irina Higgins , Arka Pal , Loic Matthey , Nick Watters , Guillaume Desjardins , and Alexander Lerchner . 2017 . Understanding Disentangling in Beta-VAE. In NIPS Workshop on Learning Disentangled Representations. Christopher P. Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner. 2017. Understanding Disentangling in Beta-VAE. In NIPS Workshop on Learning Disentangled Representations."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Edwin Catmull and Raphael Rom. 1974. A Class of Local Interpolating Splines. In Computer Aided Geometric Design.  Edwin Catmull and Raphael Rom. 1974. A Class of Local Interpolating Splines. In Computer Aided Geometric Design.","DOI":"10.1016\/B978-0-12-079050-0.50020-5"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321804"},{"key":"e_1_3_2_1_8_1","volume-title":"Robots that can adapt like animals. Nature 521, 7553","author":"Cully Antoine","year":"2015","unstructured":"Antoine Cully , Jeff Clune , Danesh Tarapore , and Jean-Baptiste Mouret . 2015. Robots that can adapt like animals. Nature 521, 7553 ( 2015 ). Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret. 2015. Robots that can adapt like animals. Nature 521, 7553 (2015)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390221"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2019.8848011"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of AIStats.","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the Difficulty of Training Deep Feedforward Neural Networks . In Proceedings of AIStats. Xavier Glorot and Yoshua Bengio. 2010. Understanding the Difficulty of Training Deep Feedforward Neural Networks. In Proceedings of AIStats."},{"volume-title":"Metaheuristics for Finding Multiple Solutions, M. Epitropakis","author":"Hagg Alexander","key":"e_1_3_2_1_12_1","unstructured":"Alexander Hagg . 2021. Phenotypic Niching using Quality Diversity Algorithms (accepted) . In Metaheuristics for Finding Multiple Solutions, M. Epitropakis , X. Li, M. Preuss, and J. Fieldsend (Eds.). Springer Press . Alexander Hagg. 2021. Phenotypic Niching using Quality Diversity Algorithms (accepted). In Metaheuristics for Finding Multiple Solutions, M. Epitropakis, X. Li, M. Preuss, and J. Fieldsend (Eds.). Springer Press."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of ICCC.","author":"Hagg Alexander","year":"2020","unstructured":"Alexander Hagg , Alexander Asteroth , and Thomas B\u00e4ck . 2020 . A Deep Dive Into Exploring the Preference Hypervolume . In Proceedings of ICCC. Alexander Hagg, Alexander Asteroth, and Thomas B\u00e4ck. 2020. A Deep Dive Into Exploring the Preference Hypervolume. In Proceedings of ICCC."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63710-1_4"},{"key":"e_1_3_2_1_15_1","volume-title":"Designing Air Flow with Surrogate-assisted Phenotypic Niching. In International Conference on Parallel Problem Solving from Nature. Springer, 140--153","author":"Hagg Alexander","year":"2020","unstructured":"Alexander Hagg , Dominik Wilde , Alexander Asteroth , and Thomas B\u00e4ck . 2020 . Designing Air Flow with Surrogate-assisted Phenotypic Niching. In International Conference on Parallel Problem Solving from Nature. Springer, 140--153 . Alexander Hagg, Dominik Wilde, Alexander Asteroth, and Thomas B\u00e4ck. 2020. Designing Air Flow with Surrogate-assisted Phenotypic Niching. In International Conference on Parallel Problem Solving from Nature. Springer, 140--153."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of ICLR.","author":"Higgins Irina","year":"2016","unstructured":"Irina Higgins , Loic Matthey , Arka Pal , Christopher Burgess , Xavier Glorot , Matthew Botvinick , Shakir Mohamed , and Alexander Lerchner . 2016 . Beta-VAE: Learning Basic Visual Concepts With a Constrained Variational Framework . In Proceedings of ICLR. Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner. 2016. Beta-VAE: Learning Basic Visual Concepts With a Constrained Variational Framework. In Proceedings of ICLR."},{"key":"e_1_3_2_1_17_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In Proceedings of ICLR. Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Proceedings of ICLR."},{"key":"e_1_3_2_1_18_1","volume-title":"Kingma and Max Welling","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Max Welling . 2014 . Auto-Encoding Variational Bayes. In Proceedings of ICLR. Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In Proceedings of ICLR."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001576.2001606"},{"key":"e_1_3_2_1_20_1","article-title":"Visualizing Data Using t-SNE","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing Data Using t-SNE . Journal of Machine Learning Research 9 , Nov (2008). Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing Data Using t-SNE. Journal of Machine Learning Research 9, Nov (2008).","journal-title":"Journal of Machine Learning Research 9"},{"key":"e_1_3_2_1_21_1","volume-title":"On the Distribution of Points in a Cube and the Approximate Evaluation of Integrals. Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki 7, 4","author":"Sobol Ilya Meerovich","year":"1967","unstructured":"Ilya Meerovich Sobol . 1967. On the Distribution of Points in a Cube and the Approximate Evaluation of Integrals. Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki 7, 4 ( 1967 ). Ilya Meerovich Sobol. 1967. On the Distribution of Points in a Cube and the Approximate Evaluation of Integrals. Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki 7, 4 (1967)."},{"key":"e_1_3_2_1_22_1","article-title":"Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm","volume":"22","author":"Vassiliades Vassilis","year":"2017","unstructured":"Vassilis Vassiliades , Konstantinos Chatzilygeroudis , and Jean-Baptiste Mouret . 2017 . Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm . IEEE Transactions on Evolutionary Computation 22 , 4 (2017). Vassilis Vassiliades, Konstantinos Chatzilygeroudis, and Jean-Baptiste Mouret. 2017. Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. IEEE Transactions on Evolutionary Computation 22, 4 (2017).","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205517"},{"key":"e_1_3_2_1_24_1","article-title":"Diversity Assessment in Many-objective Optimization","volume":"47","author":"Wang Handing","year":"2016","unstructured":"Handing Wang , Yaochu Jin , and Xin Yao . 2016 . Diversity Assessment in Many-objective Optimization . IEEE Transactions on Cybernetics 47 , 6 (2016). Handing Wang, Yaochu Jin, and Xin Yao. 2016. Diversity Assessment in Many-objective Optimization. IEEE Transactions on Cybernetics 47, 6 (2016).","journal-title":"IEEE Transactions on Cybernetics"}],"event":{"name":"GECCO '21: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Lille France","acronym":"GECCO '21"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459287","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3449639.3459287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:57Z","timestamp":1750197717000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,26]]},"references-count":24,"alternative-id":["10.1145\/3449639.3459287","10.1145\/3449639"],"URL":"https:\/\/doi.org\/10.1145\/3449639.3459287","relation":{},"subject":[],"published":{"date-parts":[[2021,6,26]]},"assertion":[{"value":"2021-06-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}