{"title":"Acknowledgement of Reviewers for 2020","authors":"M. Blunt","doi":"10.1007/s11069-021-04522-1","DOIUrl":"https://doi.org/10.1007/s11069-021-04522-1","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"43 1","pages":"139 - 141"},"PeriodicalIF":2.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11069-021-04522-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52467713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings","authors":"","doi":"10.1007/978-3-030-72812-0","DOIUrl":"https://doi.org/10.1007/978-3-030-72812-0","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"13 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81920462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tag-based regulation of modules in genetic programming improves context-dependent problem solving","authors":"Alexander Lalejini, M. Moreno, C. Ofria","doi":"10.1007/s10710-021-09406-8","DOIUrl":"https://doi.org/10.1007/s10710-021-09406-8","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"22 1","pages":"325 - 355"},"PeriodicalIF":2.6,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10710-021-09406-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49372982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discovering novel memory cell designs for sentiment analysis on tweets","authors":"S. Nistor, M. Moca, R. Nistor","doi":"10.1007/s10710-020-09395-0","DOIUrl":"https://doi.org/10.1007/s10710-020-09395-0","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"22 1","pages":"147 - 187"},"PeriodicalIF":2.6,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10710-020-09395-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45085439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way","authors":"Nicolas E. Gold","doi":"10.1007/s10710-020-09394-1","DOIUrl":"https://doi.org/10.1007/s10710-020-09394-1","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"22 1","pages":"137 - 139"},"PeriodicalIF":2.6,"publicationDate":"2020-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10710-020-09394-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52297825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning feature spaces for regression with genetic programming.","authors":"William La Cava, Jason H Moore","doi":"10.1007/s10710-020-09383-4","DOIUrl":"10.1007/s10710-020-09383-4","url":null,"abstract":"<p><p>Genetic programming has found recent success as a tool for learning sets of features for regression and classification. Multidimensional genetic programming is a useful variant of genetic programming for this task because it represents candidate solutions as sets of programs. These sets of programs expose additional information that can be exploited for building block identification. In this work, we discuss this architecture and others in terms of their propensity for allowing heuristic search to utilize information during the evolutionary process. We investigate methods for biasing the components of programs that are promoted in order to guide search towards useful and complementary feature spaces. We study two main approaches: 1) the introduction of new objectives and 2) the use of specialized semantic variation operators. We find that a semantic crossover operator based on stagewise regression leads to significant improvements on a set of regression problems. The inclusion of semantic crossover produces state-of-the-art results in a large benchmark study of open-source regression problems in comparison to several state-of-the-art machine learning approaches and other genetic programming frameworks. Finally, we look at the collinearity and complexity of the data representations produced by different methods, in order to assess whether relevant, concise, and independent factors of variation can be produced in application.</p>","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"21 3","pages":"433-467"},"PeriodicalIF":2.6,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7748157/pdf/nihms-1575378.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38738086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joseph D. Romano, Trang T. Le, Weixuan Fu, J. Moore
{"title":"TPOT-NN: augmenting tree-based automated machine learning with neural network estimators","authors":"Joseph D. Romano, Trang T. Le, Weixuan Fu, J. Moore","doi":"10.1007/s10710-021-09401-z","DOIUrl":"https://doi.org/10.1007/s10710-021-09401-z","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"22 1","pages":"207 - 227"},"PeriodicalIF":2.6,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10710-021-09401-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47403442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Arthur I. Miller: The artist in the machine: the world of AI-powered creativity","authors":"A. Olszewska","doi":"10.1007/s10710-020-09392-3","DOIUrl":"https://doi.org/10.1007/s10710-020-09392-3","url":null,"abstract":"","PeriodicalId":50424,"journal":{"name":"Genetic Programming and Evolvable Machines","volume":"21 1","pages":"525 - 527"},"PeriodicalIF":2.6,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10710-020-09392-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52297790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}