Literatura científica selecionada sobre o tema "Exploratory landscape analysis"
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Artigos de revistas sobre o assunto "Exploratory landscape analysis"
Rosetia, Amanda, e Nor Zalina Harun. "An Exploratory Analysis of the Definition and Conceptualization of Cultural Landscape". Jurnal Kejuruteraan si6, n.º 1 (31 de outubro de 2023): 17–27. http://dx.doi.org/10.17576/jkukm-2023-si6(1)-02.
Texto completo da fonteLang, Ryan Dieter, e Andries Petrus Engelbrecht. "An Exploratory Landscape Analysis-Based Benchmark Suite". Algorithms 14, n.º 3 (27 de fevereiro de 2021): 78. http://dx.doi.org/10.3390/a14030078.
Texto completo da fonteChang Chien, Yi-Min, Steve Carver e Alexis Comber. "An Exploratory Analysis of Expert and Nonexpert-Based Land-Scape Aesthetics Evaluations: A Case Study from Wales". Land 10, n.º 2 (13 de fevereiro de 2021): 192. http://dx.doi.org/10.3390/land10020192.
Texto completo da fonteStaniak, Mateusz, e Przemysław Biecek. "The Landscape of R Packages for Automated Exploratory Data Analysis". R Journal 11, n.º 2 (2019): 347. http://dx.doi.org/10.32614/rj-2019-033.
Texto completo da fonteSarefo, Seth, Maurice Dawson e Mphago Banyatsang. "An exploratory analysis of the cybersecurity threat landscape for Botswana". Procedia Computer Science 219 (2023): 1012–22. http://dx.doi.org/10.1016/j.procs.2023.01.379.
Texto completo da fonteSong, Shangzhou, Shaohua Wang, Huichun Ye e Yong Guan. "Exploratory Analysis on the Spatial Distribution and Influencing Factors of Beitang Landscape in the Shangzhuang Basin". Land 11, n.º 3 (12 de março de 2022): 418. http://dx.doi.org/10.3390/land11030418.
Texto completo da fonteMunoz, Mario A., Michael Kirley e Saman K. Halgamuge. "Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content". IEEE Transactions on Evolutionary Computation 19, n.º 1 (fevereiro de 2015): 74–87. http://dx.doi.org/10.1109/tevc.2014.2302006.
Texto completo da fonteAlyahya, Khulood, e Jonathan E. Rowe. "Landscape Analysis of a Class of NP-Hard Binary Packing Problems". Evolutionary Computation 27, n.º 1 (março de 2019): 47–73. http://dx.doi.org/10.1162/evco_a_00237.
Texto completo da fonteJudijanto, Loso, Eva Yuniarti Utami, Rianti Setyawasih e Teddy Oswari. "Exploratory Analysis of Literature on the Impact of Globalization on Finance". West Science Interdisciplinary Studies 1, n.º 12 (30 de dezembro de 2023): 1451–60. http://dx.doi.org/10.58812/wsis.v1i12.525.
Texto completo da fonteCaldeira, Sofia P. "The Pluralization of Feminist Hashtag Landscapes: An Exploratory Mapping of Feminist Hashtags on Portuguese Instagram". Social Media + Society 9, n.º 2 (abril de 2023): 205630512311716. http://dx.doi.org/10.1177/20563051231171638.
Texto completo da fonteTeses / dissertações sobre o assunto "Exploratory landscape analysis"
Jankovic, Anja. "Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization". Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS302.
Texto completo da fonteBlack-box optimization algorithms (BBOAs) are conceived for settings in which exact problem formulations are non-existent, inaccessible, or too complex for an analytical solution. BBOAs are essentially the only means of finding a good solution to such problems. Due to their general applicability, BBOAs can exhibit different behaviors when optimizing different types of problems. This yields a meta-optimization problem of choosing the best suited algorithm for a particular problem, called the algorithm selection (AS) problem. By reason of inherent human bias and limited expert knowledge, the vision of automating the selection process has quickly gained traction in the community. One prominent way of doing so is via so-called landscape-aware AS, where the choice of the algorithm is based on predicting its performance by means of numerical problem instance representations called features. A key challenge that landscape-aware AS faces is the computational overhead of extracting the features, a step typically designed to precede the actual optimization. In this thesis, we propose a novel trajectory-based landscape-aware AS approach which incorporates the feature extraction step within the optimization process. We show that the features computed using the search trajectory samples lead to robust and reliable predictions of algorithm performance, and to powerful algorithm selection models built atop. We also present several preparatory analyses, including a novel perspective of combining two complementary regression strategies that outperforms any of the classical, single regression models, to amplify the quality of the final selector
McBride, Gemma. "An exploratory analysis of landscape-level effects on wild dog home ranges and core areas : a case study at Kosciuszko National Park, and Bago and Maragle State Forest". Master's thesis, 2007. http://hdl.handle.net/1885/132120.
Texto completo da fonteLivros sobre o assunto "Exploratory landscape analysis"
Jenset, Gard B., e Barbara McGillivray. A new methodology for quantitative historical linguistics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198718178.003.0007.
Texto completo da fonteCapítulos de livros sobre o assunto "Exploratory landscape analysis"
Beham, Andreas, Erik Pitzer, Stefan Wagner e Michael Affenzeller. "Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms". In Computer Aided Systems Theory – EUROCAST 2017, 473–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74718-7_57.
Texto completo da fonteMersmann, Olaf, Mike Preuss e Heike Trautmann. "Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis". In Parallel Problem Solving from Nature, PPSN XI, 73–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15844-5_8.
Texto completo da fonteKerschke, Pascal, Mike Preuss, Carlos Hernández, Oliver Schütze, Jian-Qiao Sun, Christian Grimme, Günter Rudolph, Bernd Bischl e Heike Trautmann. "Cell Mapping Techniques for Exploratory Landscape Analysis". In Advances in Intelligent Systems and Computing, 115–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07494-8_9.
Texto completo da fontePienaar, Johannes J., Anna S. Boman e Katherine M. Malan. "Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling". In Applications of Evolutionary Computation, 293–309. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56855-8_18.
Texto completo da fonteRenau, Quentin, Carola Doerr, Johann Dreo e Benjamin Doerr. "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy". In Parallel Problem Solving from Nature – PPSN XVI, 139–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58115-2_10.
Texto completo da fonteSchneider, Lennart, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann e Pascal Kerschke. "HPO $$\times $$ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis". In Lecture Notes in Computer Science, 575–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14714-2_40.
Texto completo da fontePrager, Raphael Patrick, e Heike Trautmann. "Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features". In Applications of Evolutionary Computation, 411–25. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30229-9_27.
Texto completo da fonteRenau, Quentin, Johann Dreo, Carola Doerr e Benjamin Doerr. "Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions". In Applications of Evolutionary Computation, 17–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72699-7_2.
Texto completo da fonteFärber, Michael, David Lamprecht, Johan Krause, Linn Aung e Peter Haase. "SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples". In The Semantic Web – ISWC 2023, 94–112. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47243-5_6.
Texto completo da fonteWinter, Bodo. "Mapping the landscape of exploratory and confirmatory data analysis in linguistics". In Data Analytics in Cognitive Linguistics, 13–48. De Gruyter, 2022. http://dx.doi.org/10.1515/9783110687279-002.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Exploratory landscape analysis"
Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs e Günter Rudolph. "Exploratory landscape analysis". In the 13th annual conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2001576.2001690.
Texto completo da fonteKerschke, Pascal, e Mike Preuss. "Exploratory landscape analysis". In GECCO '19: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3319619.3323389.
Texto completo da fonteKerschke, Pascal, e Mike Preuss. "Exploratory landscape analysis". In GECCO '17: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3067695.3067696.
Texto completo da fonteKerschke, Pascal, e Mike Preuss. "Exploratory Landscape Analysis". In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3583133.3595058.
Texto completo da fontePikalov, Maxim, e Aleksei Pismerov. "Exploratory Landscape Analysis Based Parameter Control". In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3583133.3596364.
Texto completo da fonteHe, Yaodong, Shiu Yin Yuen e Yang Lou. "Exploratory landscape analysis using algorithm based sampling". In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205651.3205660.
Texto completo da fonteTanabe, Ryoji. "Towards exploratory landscape analysis for large-scale optimization". In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449639.3459300.
Texto completo da fonteKerschke, Pascal, Mike Preuss, Simon Wessing e Heike Trautmann. "Detecting Funnel Structures by Means of Exploratory Landscape Analysis". In GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739480.2754642.
Texto completo da fonteŠkvorc, Urban, Tome Eftimov e Peter Korošec. "Using exploratory landscape analysis to visualize single-objective problems". In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3397488.
Texto completo da fonteKerschke, Pascal, Mike Preuss, Simon Wessing e Heike Trautmann. "Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models". In GECCO '16: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2908812.2908845.
Texto completo da fonteRelatórios de organizações sobre o assunto "Exploratory landscape analysis"
Wainaina, Priscilla, Eunice Gituku e Peter Minang. An Exploratory Study of Cost-Benefit Analysis of Landscape Restoration. World Agroforestry Centre (ICRAF), 2020. http://dx.doi.org/10.5716/wp20014.pdf.
Texto completo da fonte