Quality Diversity: A New Frontier for Evolutionary Computation
While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization. Yet evolution in nature can be interpreted as more nuanced than a process of simple optimization. In particular, natural evolution is a diverg...
Saved in:
| Published in: | Frontiers in robotics and AI Vol. 3 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Frontiers Media S.A
12.07.2016
|
| Subjects: | |
| ISSN: | 2296-9144, 2296-9144 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization. Yet evolution in nature can be interpreted as more nuanced than a process of simple optimization. In particular, natural evolution is a divergent search that optimizes locally within each niche as it simultaneously diversifies. This tendency to discover both quality and diversity at the same time differs from many of the conventional algorithms of machine learning, and also thereby suggests a different foundation for inferring the approach of greatest potential for evolutionary algorithms. In fact, several recent evolutionary algorithms called quality diversity (QD) algorithms(e.g. novelty search with local competition and MAP-Elites) have drawn inspiration from this more nuanced view, aiming to fill a space of possibilities with the best possible example of each type of achievable behavior. The result is a new class of algorithms that return an archive of diverse, high-quality behaviors in a single run. The aim in this paper is to study the application of QD algorithms in challenging environments (in particular complex mazes) to establish their best practices for ambitious domains in the future. In addition to providing insight into cases when QD succeeds and fails, a new approach is investigated that hybridizes multiple views of behaviors (called behavior characterizations) in the same run, which succeeds in overcoming some of the challenges associated with searching for QD with respect to a behavior characterization that is not necessarily sufficient for generating both quality and diversity at the same time. |
|---|---|
| AbstractList | While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization. Yet evolution in nature can be interpreted as more nuanced than a process of simple optimization. In particular, natural evolution is a divergent search that optimizes locally within each niche as it simultaneously diversifies. This tendency to discover both quality and diversity at the same time differs from many of the conventional algorithms of machine learning, and also thereby suggests a different foundation for inferring the approach of greatest potential for evolutionary algorithms. In fact, several recent evolutionary algorithms called quality diversity (QD) algorithms(e.g. novelty search with local competition and MAP-Elites) have drawn inspiration from this more nuanced view, aiming to fill a space of possibilities with the best possible example of each type of achievable behavior. The result is a new class of algorithms that return an archive of diverse, high-quality behaviors in a single run. The aim in this paper is to study the application of QD algorithms in challenging environments (in particular complex mazes) to establish their best practices for ambitious domains in the future. In addition to providing insight into cases when QD succeeds and fails, a new approach is investigated that hybridizes multiple views of behaviors (called behavior characterizations) in the same run, which succeeds in overcoming some of the challenges associated with searching for QD with respect to a behavior characterization that is not necessarily sufficient for generating both quality and diversity at the same time. |
| Author | Pugh, Justin K. Soros, Lisa B. Stanley, Kenneth O. |
| Author_xml | – sequence: 1 givenname: Justin K. surname: Pugh fullname: Pugh, Justin K. – sequence: 2 givenname: Lisa B. surname: Soros fullname: Soros, Lisa B. – sequence: 3 givenname: Kenneth O. surname: Stanley fullname: Stanley, Kenneth O. |
| BookMark | eNp1kE9LAzEQxYNUsNbePe4X2JpkZ7OJB6HUVguiCHoO-beSst2UbFrpt3fbKojgad4M8x4zv0s0aEPrELomeFIUXNzUMeg0oZiwCcYY8BkaUipYLgjA4Je-QOOuW_UrpORQVNUQ3b1uVePTPrv3Oxe7Xt1m0-zZfWaLGNrkXczqELP5LjTb5EOr4j6bhfVmm9ShvULntWo6N_6uI_S-mL_NHvOnl4flbPqUGyBVyh1gI6ymhhqjrdO2opqVlNVWCCCggDreC02tNcYyVVa8FNwJBbYqaqeLEVqecm1QK7mJft0fIoPy8jgI8UOqmLxpnORUUCDMshIDcLCa44I6TA1Qzo0VfRY7ZZkYui66Whp_-iZF5RtJsDxAlUeo8gBVHqH2RvzH-HPIv5Yv1Xh9FA |
| CitedBy_id | crossref_primary_10_1021_jacs_5c05916 crossref_primary_10_1162_artl_a_00330 crossref_primary_10_1016_j_neunet_2022_04_009 crossref_primary_10_1109_TEVC_2018_2877215 crossref_primary_10_3389_frobt_2019_00151 crossref_primary_10_1145_3561974 crossref_primary_10_1109_TEVC_2024_3506731 crossref_primary_10_1016_j_aei_2022_101704 crossref_primary_10_1016_j_cosrev_2025_100764 crossref_primary_10_1016_j_swevo_2018_06_009 crossref_primary_10_1007_s11047_020_09823_1 crossref_primary_10_1155_ijcg_3609613 crossref_primary_10_1016_j_bbe_2019_10_001 crossref_primary_10_1145_3750053 crossref_primary_10_3390_drones8110619 crossref_primary_10_1109_TRO_2022_3181004 crossref_primary_10_1109_TNNLS_2023_3264540 crossref_primary_10_1109_TPAMI_2024_3455257 crossref_primary_10_1017_S0269888922000042 crossref_primary_10_1007_s10710_023_09456_0 crossref_primary_10_1007_s10614_025_10985_2 crossref_primary_10_1109_ACCESS_2020_3008735 crossref_primary_10_1109_TEVC_2022_3159855 crossref_primary_10_1177_10597123231198497 crossref_primary_10_1145_3476576_3476650 crossref_primary_10_1016_j_robot_2020_103710 crossref_primary_10_1038_s42256_025_00981_4 crossref_primary_10_1017_pds_2021_603 crossref_primary_10_1016_j_neunet_2019_04_013 crossref_primary_10_1109_TEVC_2024_3376733 crossref_primary_10_1145_3696426 crossref_primary_10_7554_eLife_92683 crossref_primary_10_1007_s10710_022_09442_y crossref_primary_10_1109_ACCESS_2023_3238872 crossref_primary_10_3390_info15120744 crossref_primary_10_1007_s10710_023_09459_x crossref_primary_10_1145_3450626_3459817 crossref_primary_10_2514_1_G008112 crossref_primary_10_1038_s42256_018_0009_9 crossref_primary_10_1016_j_swevo_2023_101395 crossref_primary_10_1038_s42256_018_0006_z crossref_primary_10_1109_TG_2020_3046133 crossref_primary_10_1109_TG_2022_3223527 crossref_primary_10_1016_j_knosys_2020_106685 crossref_primary_10_1007_s10710_025_09520_x crossref_primary_10_1109_TEVC_2023_3273560 crossref_primary_10_1109_ACCESS_2022_3179589 crossref_primary_10_1109_TCYB_2025_3572153 crossref_primary_10_1109_TG_2025_3543135 crossref_primary_10_1088_1361_665X_addf98 crossref_primary_10_1109_TG_2024_3376429 crossref_primary_10_3389_frobt_2020_579403 crossref_primary_10_1109_TEVC_2022_3191698 crossref_primary_10_3390_stats6010004 crossref_primary_10_1007_s11047_021_09853_3 crossref_primary_10_1109_TCDS_2020_3008574 crossref_primary_10_3389_frobt_2023_1134841 crossref_primary_10_1109_TAFFC_2024_3406726 crossref_primary_10_1007_s00521_022_07357_4 crossref_primary_10_1145_3577203 crossref_primary_10_3389_frobt_2023_1232708 crossref_primary_10_1109_TG_2022_3208324 crossref_primary_10_1016_j_robot_2017_11_010 crossref_primary_10_1016_j_asoc_2023_110758 crossref_primary_10_1109_TEVC_2017_2735550 crossref_primary_10_1007_s00354_020_00089_w crossref_primary_10_1145_3569096 crossref_primary_10_1145_3628158 crossref_primary_10_1145_3664656 crossref_primary_10_3390_app15052815 crossref_primary_10_1016_j_swevo_2025_102140 crossref_primary_10_1007_s10710_022_09433_z crossref_primary_10_1162_artl_a_00263 crossref_primary_10_1016_j_biosystems_2022_104686 crossref_primary_10_1109_TEVC_2017_2722101 crossref_primary_10_1145_3596912 crossref_primary_10_1016_j_swevo_2025_101849 crossref_primary_10_1109_LRA_2023_3313012 crossref_primary_10_1515_auto_2019_0107 crossref_primary_10_1007_s10514_019_09842_7 crossref_primary_10_1109_TEVC_2020_3032090 crossref_primary_10_1177_0278364919839137 crossref_primary_10_3389_frobt_2021_674823 crossref_primary_10_1109_TRO_2019_2958211 crossref_primary_10_1038_s41586_023_06924_6 crossref_primary_10_1162_evco_a_00343 crossref_primary_10_7554_eLife_92683_4 crossref_primary_10_1109_LRA_2022_3148438 crossref_primary_10_1109_TEVC_2020_3036578 crossref_primary_10_3390_a15120478 crossref_primary_10_3389_frobt_2021_639173 crossref_primary_10_1016_j_engappai_2024_108118 crossref_primary_10_21468_SciPostChem_4_1_001 crossref_primary_10_1109_TG_2023_3264457 crossref_primary_10_1109_TG_2022_3169168 crossref_primary_10_1162_evco_a_00231 crossref_primary_10_1109_TEVC_2017_2704781 crossref_primary_10_1145_3703453 crossref_primary_10_3389_fpls_2023_1299208 |
| Cites_doi | 10.1007/s10846-011-9542-z 10.1109/4235.585888 10.1109/CEC.2013.6557548 10.1162/106454603322221487 10.3389/frobt.2015.00004 10.1142/S1469026803000914 10.1145/2739480.2754703 10.1109/CEC.2002.1004528 10.1007/978-3-642-16145-2_22 10.1109/4235.996017 10.1162/EVCO_a_00025 10.1007/978-3-642-18272-3_3 10.1007/978-3-540-78761-7_17 10.1145/2739480.2754664 10.1162/EVCO_a_00048 10.1109/CEC.2009.4983077 10.1109/CVPR.2015.7298640 10.1007/BF00994018 10.1177/1059712310379923 10.1038/nature14422 10.1177/105971239300200104 10.1109/CEC.2001.934446 10.1145/2463372.2463397 10.1371/journal.pone.0062186 10.1162/106454602320991837 10.1162/106365602320169811 10.7551/mitpress/2889.001.0001 10.1145/1569901.1569923 10.1609/aaai.v29i1.9601 10.1007/978-3-642-18272-3_10 10.1073/pnas.95.15.8420 10.1007/s11721-013-0081-z |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.3389/frobt.2016.00040 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2296-9144 |
| ExternalDocumentID | oai_doaj_org_article_8292416d6504484db8032e02c4288cd9 10_3389_frobt_2016_00040 |
| GroupedDBID | 53G 5VS 9T4 AAFWJ AAYXX ACGFS ADBBV AFPKN ALMA_UNASSIGNED_HOLDINGS BCNDV CITATION GROUPED_DOAJ IPNFZ KQ8 M~E OK1 PGMZT RIG |
| ID | FETCH-LOGICAL-c417t-e40c9db2c2ccbdebd72b6526fd99414a42e8941b2ddccd6a578598e9a4d73feb3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 341 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000384346100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2296-9144 |
| IngestDate | Fri Oct 03 12:43:24 EDT 2025 Sat Nov 29 07:54:12 EST 2025 Tue Nov 18 22:07:01 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c417t-e40c9db2c2ccbdebd72b6526fd99414a42e8941b2ddccd6a578598e9a4d73feb3 |
| OpenAccessLink | https://doaj.org/article/8292416d6504484db8032e02c4288cd9 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_8292416d6504484db8032e02c4288cd9 crossref_citationtrail_10_3389_frobt_2016_00040 crossref_primary_10_3389_frobt_2016_00040 |
| PublicationCentury | 2000 |
| PublicationDate | 2016-07-12 |
| PublicationDateYYYYMMDD | 2016-07-12 |
| PublicationDate_xml | – month: 07 year: 2016 text: 2016-07-12 day: 12 |
| PublicationDecade | 2010 |
| PublicationTitle | Frontiers in robotics and AI |
| PublicationYear | 2016 |
| Publisher | Frontiers Media S.A |
| Publisher_xml | – name: Frontiers Media S.A |
| References | Goldberg (B16) 1987 Morse (B40) 2013 Simon (B55) 1957 Doncieux (B12) 2015; 2 Trujillo (B64) 2008 Graening (B21) 2010 Kirschner (B26) 1998; 95 Mouret (B44) 2012; 20 Lehman (B32) 2011a; 19 Lehman (B29) 2016 Stanley (B60) 2002; 10 Trujillo (B65) 2011; 64 Cliff (B6) 1993; 2 Liapis (B36) 2013b Nguyen (B47) 2015b Pugh (B49) 2015 Goldberg (B15) 1989 Holland (B23) 1975 Bongard (B5) 2002 Hornby (B24) 2001 Bäck (B1) 1997; 1 Goldsby (B17) 2010 Lehman (B33) 2011b Mouret (B41) 2011 Cully (B8) 2015; 521 Standish (B57) 2003; 3 Green (B22) 2003–2006 Stanley (B61) 2003; 9 Cully (B9) 2013 Kistemaker (B27) 2011 Doucette (B13) 2010 Hornby (B25) 2002 Stanley (B58) 2007 Gomes (B19) 2015 Boden (B4) 2006 Velez (B66) 2014 Stanley (B59) 2011 Deb (B11) 2002; 6 Krcah (B28) 2010 Bishop (B3) 2006 Lehman (B31) 2010 Lehman (B30) 2008 Risi (B50) 2011; 18 Szerlip (B63) 2015 Naredo (B45) 2013 Liapis (B35) 2013a Bedau (B2) 2008 Martinez (B38) 2013 Mitchell (B39) 1997 Gomes (B18) 2013 Woolley (B67) 2011 Lehman (B34) 2013; 8 Szerlip (B62) 2013 Risi (B51) 2013 Mouret (B42) 2015 Rumelhart (B53) 1986 Soltoggio (B56) 2009 Nolfi (B48) 2000 Cortes (B7) 1995; 20 Schwefel (B54) 1993 Mouret (B43) 2009 De Jong (B10) 2002 Risi (B52) 2009 Nguyen (B46) 2015a Gomes (B20) 2013; 7 Fogel (B14) 1966 |
| References_xml | – year: 2015 ident: B42 article-title: Illuminating search spaces by mapping elites – volume-title: Machine Learning year: 1997 ident: B39 – volume: 64 start-page: 323 year: 2011 ident: B65 article-title: Speciation in behavioral space for evolutionary robotics publication-title: J. Intell. Robot. Syst. doi: 10.1007/s10846-011-9542-z – volume: 1 start-page: 3 year: 1997 ident: B1 article-title: Evolutionary computation: comments on the history and current state publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.585888 – start-page: 16 volume-title: 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun year: 2013 ident: B38 article-title: “Searching for novel regression functions,” doi: 10.1109/CEC.2013.6557548 – volume-title: Artificial Intelligence Through Simulated Evolution year: 1966 ident: B14 – volume-title: Evolution and Optimum Seeking: The Sixth Generation year: 1993 ident: B54 – volume: 9 start-page: 93 year: 2003 ident: B61 article-title: A taxonomy for artificial embryogeny publication-title: Artif. Life doi: 10.1162/106454603322221487 – start-page: 343 year: 2013b ident: B36 article-title: “Enhancements to constrained novelty search: two-population novelty search for generating game content,” – year: 2013a ident: B35 article-title: “Transforming exploratory creativity with delenox,” – volume-title: Genetic Algorithms in Search, Optimization and Machine Learning year: 1989 ident: B15 – volume: 2 start-page: 4 year: 2015 ident: B12 article-title: Evolutionary robotics: what, why, and where to publication-title: Front. Robot. AI doi: 10.3389/frobt.2015.00004 – volume: 3 start-page: 167 year: 2003 ident: B57 article-title: Open-ended artificial evolution publication-title: Int. J. Comput. Intell. Appl. doi: 10.1142/S1469026803000914 – start-page: 750 year: 2008 ident: B2 article-title: “The arrow of complexity hypothesis (abstract),” – year: 2015b ident: B47 article-title: “Innovation engines: automated creativity and improved stochastic optimization via deep learning,” doi: 10.1145/2739480.2754703 – volume-title: Proceedings of the 2002 Congress on Evolutionary Computation, Honolulu year: 2002 ident: B5 article-title: “Evolving modular genetic regulatory networks,” doi: 10.1109/CEC.2002.1004528 – year: 2016 ident: B29 article-title: “Creative generation of 3D objects with deep learning and innovation engines,” – start-page: 316 volume-title: Model Driven Engineering Languages and Systems year: 2010 ident: B17 article-title: “Automatically discovering properties that specify the latent behavior of UML models,” doi: 10.1007/978-3-642-16145-2_22 – start-page: 175 year: 2013 ident: B9 article-title: “Behavioral repertoire learning in robotics,” – volume: 6 start-page: 182 year: 2002 ident: B11 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume-title: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence year: 1975 ident: B23 – year: 2008 ident: B30 article-title: “Exploiting open-endedness to solve problems through the search for novelty,” – start-page: 719 year: 2013 ident: B40 article-title: “Single-unit pattern generators for quadruped locomotion,” – year: 2003–2006 ident: B22 publication-title: SharpNEAT Homepage – start-page: 71 volume-title: Parallel Problem Solving from Nature – PPSN XI. Vol. 6239 of Lecture Notes in Computer Science, Krakow year: 2010 ident: B21 article-title: “Towards directed open-ended search by a novelty guided evolution strategy,” – volume: 19 start-page: 189 year: 2011a ident: B32 article-title: Abandoning objectives: evolution through the search for novelty alone publication-title: Evol. Comput. doi: 10.1162/EVCO_a_00025 – start-page: 37 volume-title: New Horizons in Evolutionary Robotics year: 2011 ident: B59 article-title: “Why evolutionary robotics will matter,” doi: 10.1007/978-3-642-18272-3_3 – volume-title: Pattern Recognition and Machine Learning year: 2006 ident: B3 – start-page: 131 volume-title: Genetic Programming and Evolvable Machines Special Issue on Developmental Systems year: 2007 ident: B58 article-title: “Compositional pattern producing networks: a novel abstraction of development,” – start-page: 164 volume-title: Applications of Evolutionary Computing year: 2008 ident: B64 article-title: “Discovering several robot behaviors through speciation,” doi: 10.1007/978-3-540-78761-7_17 – year: 2015 ident: B49 article-title: “Confronting the challenge of quality diversity,” doi: 10.1145/2739480.2754664 – start-page: 103 year: 2010 ident: B31 article-title: “Revising the evolutionary computation abstraction: minimal criteria novelty search,” – volume: 20 start-page: 91 year: 2012 ident: B44 article-title: Encouraging behavioral diversity in evolutionary robotics: an empirical study publication-title: Evol. Comput. doi: 10.1162/EVCO_a_00048 – start-page: 943 year: 2015 ident: B19 article-title: “Devising effective novelty search algorithms: a comprehensive empirical study,” – start-page: 211 year: 2011b ident: B33 article-title: “Evolving a diversity of virtual creatures through novelty search and local competition,” – start-page: 957 year: 2011 ident: B67 article-title: “On the deleterious effects of a priori objectives on evolution and representation,” – start-page: 284 year: 2010 ident: B28 article-title: “Solving deceptive tasks in robot body-brain co-evolution by searching for behavioral novelty,” – start-page: 318 year: 1986 ident: B53 article-title: “Learning internal representations by error propagation,” – start-page: 199 year: 2013 ident: B18 article-title: “Generic behaviour similarity measures for evolutionary swarm robotics,” – start-page: 1161 volume-title: Proceedings of the IEEE Congress on Evolutionary Computation (CEC-2009), Trondheim year: 2009 ident: B43 article-title: “Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity,” doi: 10.1109/CEC.2009.4983077 – year: 2015a ident: B46 article-title: “Deep neural networks are easily fooled: high confidence predictions for unrecognizable images,” doi: 10.1109/CVPR.2015.7298640 – volume: 20 start-page: 273 year: 1995 ident: B7 article-title: Support-vector networks publication-title: Mach. Learn. doi: 10.1007/BF00994018 – volume: 18 start-page: 470 year: 2011 ident: B50 article-title: Evolving plastic neural networks with novelty search publication-title: Adapt. Behav. doi: 10.1177/1059712310379923 – volume: 521 start-page: 503 year: 2015 ident: B8 article-title: Robots that can adapt like animals publication-title: Nature doi: 10.1038/nature14422 – start-page: 41 year: 1987 ident: B16 article-title: ‘‘Genetic algorithms with sharing for multimodal function optimization,’’ – volume: 2 start-page: 73 year: 1993 ident: B6 article-title: Explorations in evolutionary robotics publication-title: Adapt. Behav. doi: 10.1177/105971239300200104 – volume-title: Proceedings of the 2001 Congress on Evolutionary Computation, Seoul year: 2001 ident: B24 article-title: “The advantages of generative grammatical encodings for physical design,” doi: 10.1109/CEC.2001.934446 – start-page: 1093 year: 2013 ident: B45 article-title: “Searching for novel clustering programs,” – start-page: 965 year: 2011 ident: B27 article-title: “Critical factors in the performance of novelty search,” – volume-title: Mind as Machine: A History of Cognitive Science year: 2006 ident: B4 – start-page: 50 year: 2010 ident: B13 article-title: “Novelty-based fitness: an evaluation under the santa fe trail,” – volume-title: Models of Man: Social and Rational – Mathematical Essays on Rational Human Behavior in a Social Setting year: 1957 ident: B55 – year: 2013 ident: B51 article-title: “Confronting the challenge of learning a flexible neural controller for a diversity of morphologies,” doi: 10.1145/2463372.2463397 – start-page: 169 year: 2009 ident: B56 article-title: “Novelty of behaviour as a basis for the neuro-evolution of operant reward learning,” – volume: 8 start-page: e62186 year: 2013 ident: B34 article-title: Evolvability is inevitable: increasing evolvability without the pressure to adapt publication-title: PLoS ONE doi: 10.1371/journal.pone.0062186 – start-page: 8 year: 2002 ident: B25 article-title: Creating high-level components with a generative representation for body-brain evolution publication-title: Artif. Life doi: 10.1162/106454602320991837 – volume-title: Evolutionary Computation: A Unified Perspective year: 2002 ident: B10 – volume: 10 start-page: 99 year: 2002 ident: B60 article-title: Evolving neural networks through augmenting topologies publication-title: Evol. Comput. doi: 10.1162/106365602320169811 – volume-title: Evolutionary Robotics year: 2000 ident: B48 doi: 10.7551/mitpress/2889.001.0001 – year: 2009 ident: B52 article-title: “How novelty search escapes the deceptive trap of learning to learn,” doi: 10.1145/1569901.1569923 – year: 2015 ident: B63 article-title: “Unsupervised feature learning through divergent discriminative feature accumulation,” doi: 10.1609/aaai.v29i1.9601 – start-page: 218 year: 2013 ident: B62 article-title: “Indirectly encoded sodarace for artificial life,” – start-page: 139 volume-title: New Horizons in Evolutionary Robotics year: 2011 ident: B41 article-title: “Novelty-based multiobjectivization,” doi: 10.1007/978-3-642-18272-3_10 – volume: 95 start-page: 8420 year: 1998 ident: B26 article-title: Evolvability publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.95.15.8420 – start-page: 737 year: 2014 ident: B66 article-title: “Novelty search creates robots with general skills for exploration,” – volume: 7 start-page: 115 year: 2013 ident: B20 article-title: Evolution of swarm robotics systems with novelty search publication-title: Swarm Intell. doi: 10.1007/s11721-013-0081-z |
| SSID | ssj0001584377 |
| Score | 2.553691 |
| Snippet | While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.... |
| SourceID | doaj crossref |
| SourceType | Open Website Enrichment Source Index Database |
| SubjectTerms | behavior characterization Behavioral diversity Evolutionary computation neuroevolution non-objective search novelty search |
| Title | Quality Diversity: A New Frontier for Evolutionary Computation |
| URI | https://doaj.org/article/8292416d6504484db8032e02c4288cd9 |
| Volume | 3 |
| WOSCitedRecordID | wos000384346100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2296-9144 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001584377 issn: 2296-9144 databaseCode: DOA dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2296-9144 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001584377 issn: 2296-9144 databaseCode: M~E dateStart: 20140101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PS8MwFA4yPOhB_InzFzl48VDWpmmTeBCmbnhxeFDYrTQvKQiySa2DXfzbfUm6US968VJKSUv4Xuj7vvble4RclkxVhqE6yWUJEc9SEWmwPMJgVyzJY1ZlodmEmEzkdKqeOq2-XE1YsAcOwA0kQ4WQ5AaZBCoJbrSMU2ZjBsibJRi_dQ9ZT0dMhf3BkqdChP-SqMLUoKrn2tVOJrk36Ix_5KGOXb_PK-NdstMSQjoME9kjG3a2T7Y7NoEH5CYYXSzp_aqI4poOKb6e6NjZD2Bio0g96WjRLqOyXtLQrcHDfkhexqPnu4eo7XsQAU9EE1kegzKaAQPQxmojmM4zlldGKZ7wkjMr8UQzYwBMXjq_GiWtKrkRaYXq-Ij0ZvOZPSbUmcNrgaokqRAwTM8xB5BKcxBZZlTcJ4MVCgW0puCuN8VbgeLA4VZ43AqHW-Fx65Or9R3vwRDjl7G3Dtj1OGdl7S9ggIs2wMVfAT75j4ecki03LfdRNmFnpNfUn_acbMKief2oL_zawePj1-gbgE3Hfg |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Quality+Diversity%3A+A+New+Frontier+for+Evolutionary+Computation&rft.jtitle=Frontiers+in+robotics+and+AI&rft.au=Justin+K+Pugh&rft.au=Lisa+B.+Soros&rft.au=Kenneth+O.+Stanley&rft.date=2016-07-12&rft.pub=Frontiers+Media+S.A&rft.eissn=2296-9144&rft.volume=3&rft_id=info:doi/10.3389%2Ffrobt.2016.00040&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_8292416d6504484db8032e02c4288cd9 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2296-9144&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2296-9144&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2296-9144&client=summon |