tag:blogger.com,1999:blog-47935218645064828822024-02-18T18:38:31.460-08:00Genetic Programming and Evolvable MachinesEditor's blogLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.comBlogger155125tag:blogger.com,1999:blog-4793521864506482882.post-4776520603369479022023-08-22T09:22:00.002-07:002023-08-22T09:22:06.893-07:00Continuous publication<p>Beginning with Volume 24, <i>Genetic Programming and Evolvable Machines</i> has adopted a "continuous publication" model, in which articles are published in open issues as soon as their production processes are complete. </p><p>In this context it no longer seems to make sense to post new issue announcements on this blog. </p><p>To see the latest published articles, please check the <a href="https://link.springer.com/journal/10710/volumes-and-issues">Volumes and Issues</a> section of the journal's website.</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-36374001955227449662023-02-17T02:44:00.000-08:002023-02-17T02:44:05.629-08:00Boost your paper's readership: GECCO 2023 Hot of the Press<p>The GECCO conference offers authors of recent GP+EM papers an opportunity to present it in front of an audience. See <a href="https://gecco-2023.sigevo.org/Call-for-HOPs">https://gecco-2023.sigevo.org/Call-for-HOPs</a><br /></p>Billhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com1tag:blogger.com,1999:blog-4793521864506482882.post-26119166531818824792022-11-15T18:50:00.002-08:002022-11-15T18:50:52.613-08:00 GPEM 23(4) is now available<p>The fourth issue of Volume 23 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/23-4">available for download</a>.</p><p>This issue includes papers in the Special Issue on Evolutionary Computation in Art, Music and Design.</p><p>It contains:</p><p>A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit<br />by Xinming Shi, Leandro L. Minku, and Xin Yao</p><p>Using estimation of distribution algorithm for procedural content generation in video games<br />by Arash Moradi Karkaj and Shahriar Lotfi</p><p>Complexity and aesthetics in generative and evolutionary art<br />by Jon McCormack and Camilo Cruz Gambardella</p><p>Experiments in evolutionary image enhancement with ELAINE<br />by João Correia, Daniel Lopes, Leonardo Vieira, Nereida Rodriguez-Fernandez, Adrian Carballal, Juan Romero and Penousal Machado</p><p>BOOK REVIEW<br />Melanie Mitchell: Artificial intelligence—a guide for thinking humans<br />by Didem Özkiziltan</p><p>BOOK REVIEW<br />Machado, Romero and Greenfield (editors): Artificial intelligence and the arts<br />by Anna Jordanous</p><p>BOOK REVIEW<br />The evolution of complexity<br />by Emily Dolson</p><p>BOOK REVIEW<br />Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning<br />by Amelia Zafra</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-76062896322311049382022-11-15T18:28:00.000-08:002022-11-15T18:28:02.819-08:00 GPEM 23(3) is now available<p>The third issue of Volume 23 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/23-3">available for download</a>. </p><p>This is a Special Issue on Highlights of Genetic Programming 2021 Events, edited by Leonardo Trujillo, Nuno Lourenço, Ting Hu, and Mengjie Zhang.</p><p>It contains:</p><p>Editorial Introduction<br />by Leonardo Trujillo, Ting Hu, Nuno Lourenço, and Mengjie Zhang</p><p>Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set<br />by Guilherme Seidyo Imai Aldeia and Fabrício Olivetti de França</p><p>Evolutionary approximation and neural architecture search<br />by Michal Pinos, Vojtech Mrazek, and Lukas Sekanina</p><p>Applying genetic programming to PSB2: the next generation program synthesis benchmark suite<br />by Thomas Helmuth and Peter Kelly</p><p>Severe damage recovery in evolving soft robots through differentiable programming<br />by Kazuya Horibe, Kathryn Walker, Rasmus Berg Palm, Shyam Sudhakaran, and Sebastian Risi</p><p>A grammar-based GP approach applied to the design of deep neural networks<br />by Ricardo H. R. Lima, Dimmy Magalhães, Aurora Pozo, Alexander Mendiburu, and Roberto Santana</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-30742439866328994222022-07-12T00:49:00.002-07:002022-07-12T01:11:06.099-07:00GECCO 2022 impact awardThe ten year GECCO 2022 award, announced yesterday, for most impact paper formed the basis for a paper in GP+EM:<br /><br />"Better GP benchmarks: community survey results and proposals" by David R. White and James McDermott and Mauro Castelli and Luca Manzoni and Brian W. Goldman and Gabriel Kronberger and Wojciech Jaskowski and Una-May O'Reilly and Sean Luke. Genetic Programming and Evolvable Machines, 14(1):3-29, 2013.<br /><a href="http://gpbib.cs.ucl.ac.uk/gp-html/White_2013_GPEM.html">http://gpbib.cs.ucl.ac.uk/gp-html/White_2013_GPEM.html</a><br />Billhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-22230423104388193002022-05-15T12:29:00.002-07:002022-05-15T12:30:19.600-07:00 GPEM 23(2) is now available<p>The second issue of Volume 23 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/23-2">available for download</a>.</p><p>It contains:</p><p>Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios<br />by Sergio Contador, J. Manuel Colmenar, Oscar Garnica, J. Manuel Velasco, J. Ignacio Hidalgo</p><p>On the performance of the Bayesian optimization algorithm with combined scenarios of search algorithms and scoring metrics<br />by Ciniro A. L. Nametala, Wandry R. Faria, Benvindo R. Pereira Júnior</p><p>Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation<br />by Daniel Varela, José Santos</p><p>Genetic programming for iterative numerical methods<br />by Dominik Sobania, Jonas Schmitt, Harald Köstler, Franz Rothlauf</p><p>GP-DMD: a genetic programming variant with dynamic management of diversity<br />by Ricardo Nieto-Fuentes, Carlos Segura</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-56187541477876675932022-04-02T06:40:00.000-07:002022-04-02T06:40:10.610-07:00GPEM 23(1) is now available<p>The first issue of Volume 23 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/23-1">available for download</a>.</p><p>It contains:</p><p>Editorial introduction<br />by Lee Spector</p><p>Acknowledgment to reviewers (2021)<br />by Lee Spector</p><p>Inference of time series components by online co-evolution<br />by Danil Koryakin, Sebastian Otte, Martin V. Butz</p><p>Constant optimization and feature standardization in multiobjective genetic programming<br />by Peter Rockett</p><p>Genetic programming convergence<br />by W. B. Langdon</p><p>Automatic generation of regular expressions for the Regex Golf challenge using a local search algorithm<br />by André Almeida Farzat, Márcio Oliveira Barros</p><p>Generating networks of genetic processors<br />by Marcelino Campos, José M. Sempere</p><p>BOOK REVIEW<br />Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all<br />by Walid Magdy</p><p>BOOK REVIEW<br />Artificial intelligence for fashion, Leanne Luce, Apress 2019, ISBN 978-1-4842-3930-8 how AI is revolutionizing the fashion industry<br />by Grace Buttler</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com2tag:blogger.com,1999:blog-4793521864506482882.post-85828821090624031792021-12-31T19:45:00.002-08:002021-12-31T19:45:30.074-08:00Call for Papers: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection<p>In 1992, John R. Koza published his first book on Genetic Programming (GP): "Genetic Programming: On the Programming of Computers by Means of Natural Selection" [1]. This ground-breaking book paved the way for the establishment of a new field of study. It influenced the work of thousands of researchers and practitioners worldwide, many of whom aimed to continue the exploration, formalization and improvement of the original formulation of GP and/or to apply GP to challenging problems. </p><p>We aim to celebrate the 30th anniversary of [1] with a special issue that focuses on the multiple impacts that the book had, and is still having, on the GP field. We hope that the special issue will illustrate many of the ways in which the ideas proposed by Koza in [1] have influenced and are still influencing the GP community. </p><p>[1] Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA, USA: MIT Press. ISBN: 0-262-11170-5</p><p><b>TOPICS OF INTEREST</b></p><p>We are open to a broad range of submissions that, in various ways, help us better understand the impact of [1] on the GP community. Submissions that would be welcomed might for example present: </p><p></p><ul style="text-align: left;"><li>High quality review articles of [1] and of subsequent books or other types of publications, that may include a deep discussion of the relationship, similarities and differences with [1].</li><li>Discussions of ways in which current techniques and practices are similar to or different from those recommended in [1], and the ways in which the methods presented in [1] have evolved towards more modern and effective methods.</li><li>Challenges that [1] regarded as open, and the extent to which they are now completely fulfilled or that still constitute open issues for the GP field. </li><li>Ground-breaking ideas that were proposed in [1] and that have inspired research in the past, or may inspire new research in the future.</li><li>Ideas in [1] that have received little attention to date, which might be beneficial to revisit.</li><li>Works that deal with the impact that [1] has had in applied domains, exploring and/or surveying the achievements and limits of the methods and ideas proposed in [1] for solving real-world problems.</li><li>Applications that directly build on the techniques described in [1] and are able to achieve human-competitive results.</li></ul><p></p><p><b>TENTATIVE TIMELINE</b></p><p></p><ul style="text-align: left;"><li>Submission deadline: 30 July 2022</li><li>Initial reviews: 15 October 2022</li><li>Resubmissions: 10 December 2023</li><li>Final notifications: 10 February 2023</li></ul><p></p><p><b>GUEST EDITORS</b></p><div style="text-align: left;">Leonardo Vanneschi <br />NOVA IMS, Universidade Nova de Lisboa, Portugal<br />lvanneschi@novaims.unl.pt</div><div style="text-align: left;"><br /></div><div style="text-align: left;">Leonardo Trujillo <br />Instituto Tecnológico de Tijuana, Mexico<br />leonardo.trujillo@tectijuana.edu.mx</div><p><b>SUBMISSION GUIDELINES</b></p><p>Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. All papers will be reviewed following standard reviewing procedures for the Journal. Papers must be prepared in accordance with the Journal guidelines: <a href="http://www.springer.com/10710">www.springer.com/10710</a>.</p><p>Submit manuscripts to: <a href="http://GENP.edmgr.com">http://GENP.edmgr.com</a>. Select “S.I. Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection” as the article type or when asked if the article is for a special issue.</p><p>Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources page, including FAQs, Tutorials along with Help and Support.</p><p>Additional information can be found on the official <a href="https://www.springer.com/journal/10710/updates/19969472">Springer Call for Papers</a>.</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com1tag:blogger.com,1999:blog-4793521864506482882.post-67623032840523629522021-11-07T13:53:00.002-08:002021-11-07T13:53:24.771-08:00GPEM 22(4) is now available<p>The fourth issue of Volume 22 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/22-4">available for download</a>. This is a Special Issue on Highlights of Genetic Programming 2020 Events, edited by Miguel Nicolau, Ting Hu, Mengjie Zhang, and Nuno Lourenço.</p><p>It contains:</p><p>Highlights of genetic programming 2020 events<br />by Miguel Nicolau</p><p>Evolving continuous optimisers from scratch<br />by Michael A. Lones</p><p>Evolutionary algorithms for designing reversible cellular automata<br />by Luca Mariot, Stjepan Picek, Domagoj Jakobovic & Alberto Leporati </p><p>A semantic genetic programming framework based on dynamic targets<br />by Stefano Ruberto, Valerio Terragni & Jason H. Moore </p><p>Relationships between parent selection methods, looping constructs, and success rate in genetic programming<br />by Anil Kumar Saini and Lee Spector</p><p>EvoStencils: a grammar-based genetic programming approach for constructing efficient geometric multigrid methods<br />by Jonas Schmitt, Sebastian Kuckuk & Harald Köstler </p><p>Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design<br />by David Hodan, Vojtech Mrazek & Zdenek Vasicek </p><p>Evolving hierarchical memory-prediction machines in multi-task reinforcement learning<br />by Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf & Cedric Gondro </p><p>Graph representations in genetic programming<br />by Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth & Márcio Porto Basgalupp </p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-12741918355061866542021-08-23T08:01:00.002-07:002021-08-23T08:01:47.981-07:00GPEM 22(3) is now available <p>The third issue of Volume 22 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/22-3">available for download</a>.</p><p>It contains:</p><p>Feature extraction by grammatical evolution for one-class time series classification<br />by Stefano Mauceri, James Sweeney, Miguel Nicolau, James McDermott</p><p>Genetic programming-based regression for temporal data<br />by Cry Kuranga, Nelishia Pillay</p><p>Tag-based regulation of modules in genetic programming improves context-dependent problem solving<br />by Alexander Lalejini, Matthew Andres Moreno, Charles Ofria</p><p>LETTER<br />Symbolic-regression boosting<br />by Moshe Sipper, Jason H. Moore</p><p>SOFTWARE REVIEW<br />Software review: Pony GE2<br />by Tuong Manh Vu</p><p>BOOK REVIEW<br />Introducing Design Automation for Quantum Computing, Alwin Zulehner and Robert Wille. ISBN 978-3-030-41753-6, 2020, Springer International Publishing. 222 Pages, 51 b/w illustrations, 14 illustrations in colour<br />by Robin Harper</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-49691210909489777042021-08-05T00:15:00.000-07:002021-08-05T00:15:10.446-07:00<p> </p><h2 class="hP" data-legacy-thread-id="17b013d067bcc2f7" data-thread-perm-id="thread-a:r304801790620889325" id=":if" tabindex="-1">2021 Humies Winners</h2><div class="hP" data-legacy-thread-id="17b013d067bcc2f7" data-thread-perm-id="thread-a:r304801790620889325" id=":if" style="text-align: left;" tabindex="-1">This year's HUMIE winners for Human-Competitive Results Produced By<br />
Genetic And Evolutionary Computation are:<br />
<br />
Gold: $5000<br />
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch<br />
Esteban Real and Chen Liang and David R. So and Quoc V. Le<br />
<a data-saferedirecturl="https://www.google.com/url?q=http://gpbib.cs.ucl.ac.uk/gp-html/pmlr-v119-real20a.html&source=gmail&ust=1628233794315000&usg=AFQjCNGkODylMKZWTeyrmYUMUSGbfBDvQQ" href="http://gpbib.cs.ucl.ac.uk/gp-html/pmlr-v119-real20a.html" rel="noreferrer" target="_blank">http://gpbib.cs.ucl.ac.uk/gp-h<wbr></wbr>tml/pmlr-v119-real20a.html</a><br />
Presentation: <a data-saferedirecturl="https://www.google.com/url?q=http://www.human-competitive.org/sites/default/files/estebanreal.humies_video_automl_zero.mp4&source=gmail&ust=1628233794315000&usg=AFQjCNFd0aD1hJYCt1ZcvqeFdjk6eSL1xA" href="http://www.human-competitive.org/sites/default/files/estebanreal.humies_video_automl_zero.mp4" rel="noreferrer" target="_blank">http://www.human-competitive.o<wbr></wbr>rg/sites/default/files/esteban<wbr></wbr>real.humies_video_automl_zero.<wbr></wbr>mp4</a><br />
<br />
<br />
Silver $3000<br />
Machine learning for the prediction of pseudorealistic pediatric<br />
abdominal phantoms for radiation dose reconstruction<br />
Marco Virgolin and Ziyuan Wang and Tanja Alderliesten and Peter A. N. Bosman and<br />
Brian V. Balgobind and Irma W. E. M. van Dijk and<br />
Jan Wiersma and Petra S. Kroon and Gert O. Janssens and<br />
Marcel van Herk and David C. Hodgson and Lorna Zadravec Zaletel and<br />
Coen R. N. Rasch and Arjan Bel<br />
<a data-saferedirecturl="https://www.google.com/url?q=http://gpbib.cs.ucl.ac.uk/gp-html/Virgolin_2020_JMI.html&source=gmail&ust=1628233794316000&usg=AFQjCNFEYyAKXxdJIWFoLHGzwBZ4DqW8nw" href="http://gpbib.cs.ucl.ac.uk/gp-html/Virgolin_2020_JMI.html" rel="noreferrer" target="_blank">http://gpbib.cs.ucl.ac.uk/gp-h<wbr></wbr>tml/Virgolin_2020_JMI.html</a><br />
Presentation: <a data-saferedirecturl="https://www.google.com/url?q=http://www.human-competitive.org/sites/default/files/humies2021_virgolin_1.mp4&source=gmail&ust=1628233794316000&usg=AFQjCNElBBlg_N0j6hBH0A8WIPQWE62Hng" href="http://www.human-competitive.org/sites/default/files/humies2021_virgolin_1.mp4" rel="noreferrer" target="_blank">http://www.human-competitive.o<wbr></wbr>rg/sites/default/files/humies2<wbr></wbr>021_virgolin_1.mp4</a><br />
<br />
Bronze: $2000<br />
An evolutionary approach for generating software models: The case of<br />
Kromaia in game software engineering<br />
Daniel Blasco and Jaime Font and Mar Zamorano and Carlos Cetina<br />
<a data-saferedirecturl="https://www.google.com/url?q=http://gpbib.cs.ucl.ac.uk/gp-html/Blasco_2021_JSS.html&source=gmail&ust=1628233794316000&usg=AFQjCNHGecp-Gx8D1WczhIMZITc3Wt0aYQ" href="http://gpbib.cs.ucl.ac.uk/gp-html/Blasco_2021_JSS.html" rel="noreferrer" target="_blank">http://gpbib.cs.ucl.ac.uk/gp-h<wbr></wbr>tml/Blasco_2021_JSS.html</a><br />
Presentation: <a data-saferedirecturl="https://www.google.com/url?q=http://www.human-competitive.org/sites/default/files/font_for_humies.107mb.mp4&source=gmail&ust=1628233794316000&usg=AFQjCNGrv46T56Qypx7xbbdD9iwhv_2yfQ" href="http://www.human-competitive.org/sites/default/files/font_for_humies.107mb.mp4" rel="noreferrer" target="_blank">http://www.human-competitive.o<wbr></wbr>rg/sites/default/files/font_fo<wbr></wbr>r_humies.107mb.mp4</a><br />
<br />
<br />
Details of the winners, finalists and all 20 entries are given on the<br />
Annual "Humies" Awards For Human-Competitive Results web pages<br />
<a data-saferedirecturl="https://www.google.com/url?q=http://www.human-competitive.org/&source=gmail&ust=1628233794316000&usg=AFQjCNFEBzKyCu1ATHxnF4YcOkvxQXKo9A" href="http://www.human-competitive.org/" rel="noreferrer" target="_blank">http://www.human-competitive.o<wbr></wbr>rg/</a><br /> <br /></div>Billhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-15105170237886503902021-06-03T15:22:00.001-07:002021-06-03T15:23:13.206-07:00GPEM 22(2) is now available<div>The second issue of Volume 22 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/22-2">available for download</a>.</div><div><br /></div><div>It contains:</div><div><br /></div><div>Discovering novel memory cell designs for sentiment analysis on tweets</div><div>by Sergiu Cosmin Nistor, Mircea Moca, Răzvan Liviu Nistor</div><div><br /></div><div>An enhanced Huffman-PSO based image optimization algorithm for image steganography</div><div>by Neha Sharma, Usha Batra</div><div><br /></div><div>TPOT-NN: augmenting tree-based automated machine learning with neural network estimators</div><div>by Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore</div><div><br /></div><div>Efficiency improvement of genetic network programming by tasks decomposition in different types of environments</div><div>by Mohamad Roshanzamir, Maziar Palhang, Abdolreza Mirzaei</div>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-45657855211161345992021-03-18T11:35:00.000-07:002021-03-18T11:35:21.551-07:00CfP: Trust, Trustworthiness, and Evolvable Systems<p>Anikó Ekárt and Peter R. Lewis will guest edit a special issue on Trust, Trustworthiness, and Evolvable Systems. </p><p>See the full call for papers at <a href="https://www.springer.com/journal/10710/updates/18975534">https://www.springer.com/journal/10710/updates/18975534</a>.</p>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-83471226514612596922021-02-27T19:40:00.001-08:002021-02-27T19:40:24.336-08:00GPEM 22(1) is now available<div>The first issue of Volume 22 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/volumes-and-issues/22-1">available for download</a>.</div><div><br /></div><div>It contains:</div><div><br /></div><div>Editorial introduction</div><div>by Lee Spector</div><div><br /></div><div>Acknowledgement to reviewers (2020)</div><div>by Lee Spector</div><div><br /></div><div>Benchmarking state-of-the-art symbolic regression algorithms</div><div>by Jan Žegklitz, Petr Pošík</div><div><br /></div><div>Stock selection heuristics for performing frequent intraday trading with genetic programming</div><div>by Alexander Loginov, Malcolm Heywood, Garnett Wilson</div><div><br /></div><div>Choosing function sets with better generalisation performance for symbolic regression models</div><div>by Miguel Nicolau, Alexandros Agapitos</div><div><br /></div><div>Fuzzy cognitive maps for decision-making in dynamic environments</div><div>by Tomas Nachazel</div><div><br /></div><div>BOOK REVIEW</div><div>Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way</div><div>by Nicolas E. Gold</div><div><br /></div><div>BOOK REVIEW</div><div>Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve</div><div>by Stefano Nichele</div>Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-82022843706621641712020-11-09T01:03:00.002-08:002020-11-17T00:14:15.908-08:00GP bib URL of your papers before December 1, 2020 <p>As mentioned in my blog posting of 8 June 2020, due to the pandemic, maintenance of the genetic programming bibliography fell behind at the start of this year. I am now pleased to be able to say that I have completed a major new release and would like to encourage everyone to check that their entry in the GP bibliography <a href="http://gpbib.cs.ucl.ac.uk/" target="_blank">http://gpbib.cs.ucl.ac.uk/</a> is up to date and especially that it contains URLs for their GP papers and, if it includes GP, their PhD thesis.</p><p><br /></p><p>Thank you</p><p>Bill</p><p><br /></p>Billhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-39326229094732736962020-07-15T11:13:00.005-07:002021-06-03T15:13:13.423-07:00GPEM 21(3) is now availableThe third issue of Volume 21 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/21/3">available for download</a>.<br />
<br />
This is a special issue on <i>Highlights of Genetic Programming 2019 Events</i> (guest edited by Ting Hu, Miguel Nicolau, and Lukas Sekanina, with associated articles indicated below with "[Highlights]") which also includes a special section on <i>Integrating Numerical Optimization Methods with Genetic Programming</i> (guest edited by Anna I. Esparcia-Alcázar, Leonardo Trujillo, indicated with "[Optimization]").<br />
<br />
<b>Contents:</b><br />
<br />
[Highlights]<br />
Guest Editorial<br />
Special issue on highlights of genetic programming 2019 events<br />
Ting Hu, Miguel Nicolau & Lukas Sekanina<br />
<br />
[Highlights]<br />
EA-based resynthesis: an efficient tool for optimization of digital circuits<br />
Jitka Kocnova & Zdenek Vasicek<br />
<br />
[Highlights]<br />
Horizontal gene transfer for recombining graphs<br />
Timothy Atkinson, Detlef Plump & Susan Stepney<br />
<br />
[Highlights]<br />
On the importance of specialists for lexicase selection<br />
Thomas Helmuth, Edward Pantridge & Lee Spector<br />
<br />
[Highlights]<br />
A network perspective on genotype–phenotype mapping in genetic programming<br />
Ting Hu, Marco Tomassini & Wolfgang Banzhaf<br />
<br />
[Highlights]<br />
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality<br />
Andrew Lensen, Mengjie Zhang & Bing Xue<br />
<br />
[Highlights]<br />
Learning feature spaces for regression with genetic programming<br />
William La Cava & Jason H. Moore<br />
<br />
[Optimization]<br />
Guest Editorial<span class="Apple-tab-span" style="white-space: pre;"> </span><br />
Special Issue on Integrating numerical optimization methods with genetic programming<br />
Anna I. Esparcia-Alcázar & Leonardo Trujillo<br />
<br />
[Optimization]<br />
Parameter identification for symbolic regression using nonlinear least squares<br />
Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger & Michael Affenzeller<br />
<br />
[Optimization]<br />
Unimodal optimization using a genetic-programming-based method with periodic boundary conditions<br />
Rogério C. B. L. Póvoa, Adriano S. Koshiyama, Douglas M. Dias, Patrícia L. Souza & Bruno A. C. Horta<br />
<br />
BOOK REVIEW<br />
Arthur I. Miller: The artist in the machine: the world of AI-powered creativity<br />
Anna Olszewska<br />
<br />
<br />
<br />
<br />Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-25329364544583846142020-06-08T07:14:00.000-07:002020-06-12T06:14:14.942-07:00The Genetic Programming Bibliography: Move and MirrorThe genetic programming bibliography has been successfully moved<br />
and is since summer 2019 has been hosted by the UCL Computer Science department at<br />
<a href="http://gpbib.cs.ucl.ac.uk/">http://gpbib.cs.ucl.ac.uk</a><br />
In the long term there may be other hosting arrangements.<br />
<br />
Thanks to Jason H. Moore an automated mirror has been established at<br />
<a href="http://gpbib.pmacs.upenn.edu/">http://gpbib.pmacs.upenn.edu</a> hosted by the University of Pennsylvania,<br />
Penn Medicine Academic Computing Services. Additional mirrors,<br />
perhaps in the far east, may be established (see daily cron job mirror<br />
script <a href="http://gpbib.cs.ucl.ac.uk/tools/gpbib_ucl_mirror.bat">http://gpbib.cs.ucl.ac.uk/tools/gpbib_ucl_mirror.bat</a> ).<br />
<br />
The bibliography can be search with google, eg:<br />
earthquake site:gpbib.cs.ucl.ac.uk<br />
<br />
Due to the pandemic, regular maintenance, especially additions, has<br />
fallen behind in the last few months. GP authors are invited to send<br />
new references in BibTex, or to suggest updates, e.g. URLs, or<br />
corrections.<br />
<br />
BillBillhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-85324493436261035282020-05-12T14:53:00.001-07:002020-05-12T14:54:09.271-07:00GPEM 21(1&2) is now availableThe first/second issue of Volume 21 of Genetic Programming and Evolvable Machines, a <i>Twentieth Anniversary Special Issue</i> double issue, is now <a href="https://link.springer.com/journal/10710/21/1">available for download</a>.<br />
<br />
It contains:<br />
<br />
Editorial introduction<br />
Lee Spector<br />
<br />
GP+EM 20th anniversary editorial<br />
Nicholas Freitag McPhee, William B. Langdon<br />
<br />
Genetic programming for natural language processing<br />
Lourdes Araujo<br />
<br />
Applications of genetic programming to finance and economics: past, present, future<br />
Anthony Brabazon, Michael Kampouridis<br />
<br />
Evolutionary music: applying evolutionary computation to the art of creating music<br />
Róisín Loughran, Michael O’Neill<br />
<br />
The impact of genetic programming in education<br />
Nelishia Pillay<br />
<br />
Genetic programming in the steelmaking industry<br />
Miha Kovačič, Uroš Župerl<br />
<br />
Cartesian genetic programming: its status and future<br />
Julian Francis Miller<br />
<br />
Genetic programming theory and practice: a fifteen-year trajectory<br />
Moshe Sipper, Jason H. Moore<br />
<br />
Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence<br />
Andrea De Lorenzo, Alberto Bartoli<br />
<br />
Genetic programming and evolvable machines at 20<br />
W. B. Langdon<br />
<br />
Adversarial genetic programming for cyber security: a rising application domain where GP matters<br />
Una-May O’Reilly, Jamal Toutouh<br />
<br />
Automatic programming: The open issue?<br />
Michael O’Neill, Lee Spector<br />
<br />
BOOK REVIEW<br />
Juan C. Burguillo: Self-organizing coalitions for managing complexity<br />
B. Ombuki-Berman<br />
<br />
BOOK REVIEW<br />
Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence<br />
Rosa Leonor Ulloa-Cazarez<br />
<br />
SOFTWARE REVIEW<br />
Inspyred: Bio-inspired algorithms in Python<br />
Alberto Tonda<br />
<br />
SOFTWARE REVIEW<br />
Software review: the GPTIPS platform<br />
<br />
Acknowledgment to reviewers (2019)<br />
Lee SpectorLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-16279767836797314262019-11-20T07:09:00.001-08:002019-11-20T07:09:44.618-08:00GPEM 20(4) is now availableThe fourth issue of Volume 20 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/20/4">available for download</a>.<br />
<br />
It contains:<br />
<br />
A survey of evolutionary algorithms using metameric representations<br />
by Matt Ryerkerk, Ron Averill, Kalyanmoy Deb & Erik Goodman<br />
<br />
A covariance matrix adaptation evolution strategy in reproducing kernel Hilbert space<br />
by iet-Hung Dang, Ngo Anh Vien & TaeChoong Chung<br />
<br />
A novel multi-swarm particle swarm optimization for feature selection<br />
by Chenye Qiu<br />
<br />
A journey among Java neutral program variants<br />
by Nicolas Harrand, Simon Allier, Marcelino Rodriguez-Cancio, Martin Monperrus & Benoit BaudryLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-90388708836660329882019-09-03T16:06:00.000-07:002019-09-03T16:06:01.979-07:00GPEM 20(3) is now availableThe third issue of Volume 20 of Genetic Programming and Evolvable Machines is now <a href="https://link.springer.com/journal/10710/20/3">available for download</a>.<br />
<br />
It contains:<br />
<br />
A genetic programming framework in the automatic design of combination models for salient object detection<br />
by Marco A. Contreras-Cruz, Diana E. Martinez-Rodriguez, Uriel H. Hernandez-Belmonte & Victor Ayala-Ramirez<br />
<br />
Stochastic synthesis of recursive functions made easy with bananas, lenses, envelopes and barbed wire<br />
by Jerry Swan, Krzysztof Krawiec & Zoltan A Kocsis<br />
<br />
Local search in speciation-based bloat control for genetic programming<br />
by Perla Juárez-Smith, Leonardo Trujillo, Mario García-Valdez, Francisco Fernández de Vega & Francisco Chávez<br />
<br />
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case<br />
by Roberto Santana, Luis Marti & Mengjie Zhang<br />
<br />
Evolving autoencoding structures through genetic programming<br />
by Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes & Hugo Jair EscalanteLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-42684934905429926172019-05-22T14:20:00.001-07:002019-05-22T14:20:22.014-07:00GPEM 20(2) is now availableThe second issue of Volume 20 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/20/2">available for download</a>.<br />
<br />
It contains:<br />
<br />
On the scalability of evolvable hardware architectures: comparison of systolic array and Cartesian genetic programming<br />
by Javier Mora, Rubén Salvador & Eduardo de la Torre<br />
<br />
Vector quantization using the improved differential evolution algorithm for image compression<br />
by Sayan Nag<br />
<br />
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle<br />
by A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Jennifer L. Albert, Anthony Bucci & Amruth N. Kumar<br />
<br />
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks<br />
by Takfarinas Saber, David Fagan, David Lynch, Stepan Kucera, Holger Claussen & Michael O’Neill<br />
<br />
BOOK REVIEW<br />
Hitoshi Iba: <i>Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks</i><br />
by Petra VidnerováLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-25652378924949915882019-03-31T14:36:00.000-07:002019-03-31T14:36:35.263-07:00GPEM 20(1) is now availableThe first issue of Volume 20 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/20/1">available for download</a>.<br />
<br />
It contains:<br />
<br />
Editorial introduction<br />
by Lee Spector<br />
<br />
Acknowledgment to reviewers<br />
by Lee Spector<br />
<br />
DENSER: deep evolutionary network structured representation<br />
by Filipe Assunção, Nuno Lourenço, Penousal Machado & Bernardete Ribeiro<br />
<br />
Designing automatically a representation for grammatical evolution<br />
by Eric Medvet, Alberto Bartoli, Andrea De Lorenzo & Fabiano Tarlao<br />
<br />
A genetic programming approach for delta hedging<br />
by Zheng Yin, Anthony Brabazon, Conall O’Sullivan & Philip A. Hamill<br />
<br />
Evolving continuous cellular automata for aesthetic objectives<br />
by Jeff Heaton<br />
<br />
LETTER<span class="Apple-tab-span" style="white-space: pre;"> </span><br />
Automated discovery of test statistics using genetic programming<br />
by Jason H. Moore, Randal S. Olson, Yong Chen & Moshe Sipper<br />
<br />
SOFTWARE REVIEW<span class="Apple-tab-span" style="white-space: pre;"> </span><br />
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library<br />
by Jinhan Kim & Shin Yoo<br />
<br />
BOOK REVIEW<br />
Georgios N. Yannakakis and Julian Togelius: <i>Artificial Intelligence and Games</i><br />
by Pablo García-Sánchez<br />
<br />
BOOK REVIEW<br />
Evelyne Lutton, Nathalie Perrot, Alberto Tonda: <i>Evolutionary algorithms for food science and technology</i><br />
by Kelly Androutsopoulos<br />
<br />Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-81295821726112069212019-02-12T11:17:00.000-08:002019-02-12T11:17:30.307-08:00Call For Entries: 16th Annual (2019) "Humies" AwardsQuick reminder the Annual "Humies" Awards featuring cash prizes totalling $10000 for Human-Competitive Results will again be held at GECCO-2019.<br />
This year GECCO will be July 13th-17th, 2019 (Saturday - Wednesday) in Prague, Czech Republic see <a href="http://gecco-2019.sigevo.org/">http://gecco-2019.sigevo.org</a>.<br />
<br />
Your human competitive entries (multiple entries are allowed) must be submitted by Wednesday 5 June 2019 by email to goodman at msu dot edu Full details of how to enter can be found via <a href="http://www.human-competitive.org/">http://www.human-competitive.org</a><br />
<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLfF4oDXw1osGLNWqKc7asDWbDoxTG2AnS3UnpC8hwdKNKpFqJqw-Cr8P-VkO-zpidwkG7X5u9GtzFfqCCIKI_dcejeTwWL32bIAy4w66iXOXc79Bvg2PbhkECGX0adSe6pmPx7ztzjCU/s1600/humie_logo.gif" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="262" data-original-width="400" height="209" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLfF4oDXw1osGLNWqKc7asDWbDoxTG2AnS3UnpC8hwdKNKpFqJqw-Cr8P-VkO-zpidwkG7X5u9GtzFfqCCIKI_dcejeTwWL32bIAy4w66iXOXc79Bvg2PbhkECGX0adSe6pmPx7ztzjCU/s320/humie_logo.gif" width="320" /></a></div>
Bill Billhttp://www.blogger.com/profile/04693468438495346795noreply@blogger.com2tag:blogger.com,1999:blog-4793521864506482882.post-90884925120466571782019-01-23T18:26:00.000-08:002019-01-23T18:26:15.904-08:00Deadline extension: special issue on Integrating Numerical Optimization Methods with Genetic Programming The deadline for submissions for the special issue on "Integrating Numerical Optimization Methods with Genetic Programming" has been extended.<br />
<br />
The revised timeline is:<br />
<br />
Submission deadline: February 20, 2019<br />
Notification of first review: May 22, 2019<br />
Resubmission: June 19, 2019<br />
Final acceptance notification: August 14, 2019 Lee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0tag:blogger.com,1999:blog-4793521864506482882.post-43280457489592936772018-09-14T18:24:00.006-07:002018-09-14T18:25:46.974-07:00GPEM 19(4) is now availableThe fourth issue of Volume 19 of <i>Genetic Programming and Evolvable Machines</i> is now <a href="https://link.springer.com/journal/10710/19/4?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_10710_19_4">available for download</a>.<br />
<br />
It contains:<br />
<br />
Grammatical evolution as a hyper-heuristic to evolve deterministic real-valued optimization algorithms<br />
by Iztok Fajfar, Árpád Bűrmen & Janez Puhan<br />
<br />
Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms<br />
by Azam Shirali, Javidan Kazemi Kordestani & Mohammad Reza Meybodi<br />
<br />
Comparison of semantic-based local search methods for multiobjective genetic programming<br />
by Tiantian Dou & Peter Rockett<br />
<br />
BOOK REVIEW<br />
Alain Pétrowski and Sana Ben-Hamida: <i>Evolutionary Algorithms</i><br />
by Keith Downing<br />
<br />
BOOK REVIEW<br />
Kathryn E. Merrick: <i>Computational models of motivation for game-playing agents</i><br />
by Spyridon Samothrakis<br />
<br />
BOOK REVIEW<br />
Ryan J. Urbanowicz and Will N. Browne: <i>Introduction to learning classifier systems</i><br />
by Analía AmandiLee Spectorhttp://www.blogger.com/profile/04340759696521975374noreply@blogger.com0