[{"extern":"1","abstract":[{"text":"We analyze the effects of including local search techniques into a multi-objective evolutionary algorithm for solving a bi-objective orienteering problem with a single vehicle while the two conflicting objectives are minimization of travel time and maximization of the number of visited customer locations. Experiments are based on a large set of specifically designed problem instances with different characteristics and it is shown that local search techniques focusing on one of the objectives only improve the performance of the evolutionary algorithm in terms of both objectives. The analysis also shows that local search techniques are capable of sending locally optimal solutions to foremost fronts of the multi-objective optimization process, and that these solutions then become the leading factors of the evolutionary process.","lang":"eng"}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference","type":"conference","keyword":["combinatorial optimization","metaheuristics","multi-objective optimization","orienteering","transportation"],"department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:51Z","publication_status":"published","date_updated":"2023-12-13T10:42:14Z","year":"2018","title":"Local Search Effects in Bi-Objective Orienteering","publication_identifier":{"isbn":["978-1-4503-5618-3"]},"author":[{"last_name":"Bossek","orcid":"0000-0002-4121-4668","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"},{"full_name":"Grimme, Christian","first_name":"Christian","last_name":"Grimme"},{"first_name":"Stephan","last_name":"Meisel","full_name":"Meisel, Stephan"},{"full_name":"Rudolph, Günter","last_name":"Rudolph","first_name":"Günter"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike"}],"doi":"10.1145/3205455.3205548","series_title":"GECCO ’18","language":[{"iso":"eng"}],"citation":{"ieee":"J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2018, pp. 585–592, doi: <a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>.","apa":"Bossek, J., Grimme, C., Meisel, S., Rudolph, G., &#38; Trautmann, H. (2018). Local Search Effects in Bi-Objective Orienteering. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 585–592. <a href=\"https://doi.org/10.1145/3205455.3205548\">https://doi.org/10.1145/3205455.3205548</a>","short":"J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2018, pp. 585–592.","chicago":"Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 585–592. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205455.3205548\">https://doi.org/10.1145/3205455.3205548</a>.","mla":"Bossek, Jakob, et al. “Local Search Effects in Bi-Objective Orienteering.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, Association for Computing Machinery, 2018, pp. 585–592, doi:<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>.","bibtex":"@inproceedings{Bossek_Grimme_Meisel_Rudolph_Trautmann_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Local Search Effects in Bi-Objective Orienteering}, DOI={<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, publisher={Association for Computing Machinery}, author={Bossek, Jakob and Grimme, Christian and Meisel, Stephan and Rudolph, Günter and Trautmann, Heike}, year={2018}, pages={585–592}, collection={GECCO ’18} }","ama":"Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Local Search Effects in Bi-Objective Orienteering. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. GECCO ’18. Association for Computing Machinery; 2018:585–592. doi:<a href=\"https://doi.org/10.1145/3205455.3205548\">10.1145/3205455.3205548</a>"},"place":"New York, NY, USA","status":"public","user_id":"102979","page":"585–592","publisher":"Association for Computing Machinery","_id":"48839"},{"doi":"10.1145/3205651.3208312","language":[{"iso":"eng"}],"series_title":"GECCO ’18","date_updated":"2023-12-13T10:46:04Z","publication_status":"published","year":"2018","title":"Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr","publication_identifier":{"isbn":["978-1-4503-5764-7"]},"author":[{"id":"102979","last_name":"Bossek","first_name":"Jakob","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob"}],"keyword":["evolutionary optimization","performance assessment","software-tools"],"type":"conference","department":[{"_id":"819"}],"date_created":"2023-11-14T15:58:56Z","abstract":[{"lang":"eng","text":"Assessing the performance of stochastic optimization algorithms in the field of multi-objective optimization is of utmost importance. Besides the visual comparison of the obtained approximation sets, more sophisticated methods have been proposed in the last decade, e. g., a variety of quantitative performance indicators or statistical tests. In this paper, we present tools implemented in the R package ecr, which assist in performing comprehensive and sound comparison and evaluation of multi-objective evolutionary algorithms following recommendations from the literature."}],"extern":"1","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","user_id":"102979","page":"1350–1356","publisher":"Association for Computing Machinery","_id":"48867","status":"public","place":"New York, NY, USA","citation":{"ieee":"J. Bossek, “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1350–1356, doi: <a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","apa":"Bossek, J. (2018). Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>","chicago":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1350–1356. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208312\">https://doi.org/10.1145/3205651.3208312</a>.","short":"J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.","mla":"Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1350–1356, doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>.","bibtex":"@inproceedings{Bossek_2018, place={New York, NY, USA}, series={GECCO ’18}, title={Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Bossek, Jakob}, year={2018}, pages={1350–1356}, collection={GECCO ’18} }","ama":"Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:<a href=\"https://doi.org/10.1145/3205651.3208312\">10.1145/3205651.3208312</a>"}},{"citation":{"bibtex":"@inproceedings{Kerschke_Bossek_Trautmann_2018, place={New York, NY, USA}, series={GECCO’18}, title={Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers}, DOI={<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Kerschke, Pascal and Bossek, Jakob and Trautmann, Heike}, year={2018}, pages={1737–1744}, collection={GECCO’18} }","ama":"Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO’18. Association for Computing Machinery; 2018:1737–1744. doi:<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>","mla":"Kerschke, Pascal, et al. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2018, pp. 1737–1744, doi:<a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>.","short":"P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.","chicago":"Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing Machinery, 2018. <a href=\"https://doi.org/10.1145/3205651.3208233\">https://doi.org/10.1145/3205651.3208233</a>.","ieee":"P. Kerschke, J. Bossek, and H. Trautmann, “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2018, pp. 1737–1744, doi: <a href=\"https://doi.org/10.1145/3205651.3208233\">10.1145/3205651.3208233</a>.","apa":"Kerschke, P., Bossek, J., &#38; Trautmann, H. (2018). Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1737–1744. <a href=\"https://doi.org/10.1145/3205651.3208233\">https://doi.org/10.1145/3205651.3208233</a>"},"place":"New York, NY, USA","status":"public","user_id":"102979","publisher":"Association for Computing Machinery","_id":"48885","page":"1737–1744","abstract":[{"lang":"eng","text":"Performance comparisons of optimization algorithms are heavily influenced by the underlying indicator(s). In this paper we investigate commonly used performance indicators for single-objective stochastic solvers, such as the Penalized Average Runtime (e.g., PAR10) or the Expected Running Time (ERT), based on exemplary benchmark performances of state-of-the-art inexact TSP solvers. Thereby, we introduce a methodology for analyzing the effects of (usually heuristically set) indicator parametrizations - such as the penalty factor and the method used for aggregating across multiple runs - w.r.t. the robustness of the considered optimization algorithms."}],"extern":"1","publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","department":[{"_id":"819"}],"type":"conference","keyword":["algorithm selection","optimization","performance measures","transportation","travelling salesperson problem"],"date_created":"2023-11-14T15:58:59Z","date_updated":"2023-12-13T10:48:38Z","publication_identifier":{"isbn":["978-1-4503-5764-7"]},"author":[{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","id":"102979"},{"full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann"}],"title":"Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers","year":"2018","doi":"10.1145/3205651.3208233","language":[{"iso":"eng"}],"series_title":"GECCO’18"},{"date_updated":"2023-12-13T10:47:57Z","publication_identifier":{"isbn":["978-3-658-21150-9"]},"author":[{"full_name":"Grimme, Christian","first_name":"Christian","last_name":"Grimme"},{"id":"102979","first_name":"Jakob","last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob"}],"title":"Einführung in die Optimierung - Konzepte, Methoden und Anwendungen","status":"public","year":"2018","doi":"10.1007/978-3-658-21151-6","user_id":"102979","_id":"48880","language":[{"iso":"eng"}],"publisher":"Springer Vieweg","extern":"1","citation":{"ieee":"C. Grimme and J. Bossek, <i>Einführung in die Optimierung - Konzepte, Methoden und Anwendungen</i>. Springer Vieweg, 2018.","apa":"Grimme, C., &#38; Bossek, J. (2018). <i>Einführung in die Optimierung - Konzepte, Methoden und Anwendungen</i>. Springer Vieweg. <a href=\"https://doi.org/10.1007/978-3-658-21151-6\">https://doi.org/10.1007/978-3-658-21151-6</a>","mla":"Grimme, Christian, and Jakob Bossek. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg, 2018, doi:<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>.","bibtex":"@book{Grimme_Bossek_2018, title={Einführung in die Optimierung - Konzepte, Methoden und Anwendungen}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>}, publisher={Springer Vieweg}, author={Grimme, Christian and Bossek, Jakob}, year={2018} }","chicago":"Grimme, Christian, and Jakob Bossek. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg, 2018. <a href=\"https://doi.org/10.1007/978-3-658-21151-6\">https://doi.org/10.1007/978-3-658-21151-6</a>.","ama":"Grimme C, Bossek J. <i>Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen</i>. Springer Vieweg; 2018. doi:<a href=\"https://doi.org/10.1007/978-3-658-21151-6\">10.1007/978-3-658-21151-6</a>","short":"C. Grimme, J. Bossek, Einführung in Die Optimierung - Konzepte, Methoden Und Anwendungen, Springer Vieweg, 2018."},"department":[{"_id":"819"}],"type":"book","date_created":"2023-11-14T15:58:58Z"},{"citation":{"ama":"Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. <i>Evolutionary Computation</i>. 2018;26(4):597–620. doi:<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>","bibtex":"@article{Kerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title={Leveraging TSP Solver Complementarity through Machine Learning}, volume={26}, DOI={<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>}, number={4}, journal={Evolutionary Computation}, author={Kerschke, Pascal and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike}, year={2018}, pages={597–620} }","mla":"Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” <i>Evolutionary Computation</i>, vol. 26, no. 4, 2018, pp. 597–620, doi:<a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>.","short":"P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.","chicago":"Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” <i>Evolutionary Computation</i> 26, no. 4 (2018): 597–620. <a href=\"https://doi.org/10.1162/evco_a_00215\">https://doi.org/10.1162/evco_a_00215</a>.","apa":"Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., &#38; Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. <i>Evolutionary Computation</i>, <i>26</i>(4), 597–620. <a href=\"https://doi.org/10.1162/evco_a_00215\">https://doi.org/10.1162/evco_a_00215</a>","ieee":"P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” <i>Evolutionary Computation</i>, vol. 26, no. 4, pp. 597–620, 2018, doi: <a href=\"https://doi.org/10.1162/evco_a_00215\">10.1162/evco_a_00215</a>."},"status":"public","volume":26,"user_id":"102979","_id":"48884","page":"597–620","abstract":[{"text":"The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard problems. Over the years, many different solution approaches and solvers have been developed. For the first time, we directly compare five state-of-the-art inexact solvers\\textemdash namely, LKH, EAX, restart variants of those, and MAOS\\textemdash on a large set of well-known benchmark instances and demonstrate complementary performance, in that different instances may be solved most effectively by different algorithms. We leverage this complementarity to build an algorithm selector, which selects the best TSP solver on a per-instance basis and thus achieves significantly improved performance compared to the single best solver, representing an advance in the state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors provides insight into what drives this performance improvement.","lang":"eng"}],"issue":"4","publication":"Evolutionary Computation","department":[{"_id":"819"}],"type":"journal_article","keyword":["automated algorithm selection","machine learning.","performance modeling","Travelling Salesperson Problem"],"date_created":"2023-11-14T15:58:58Z","intvolume":"        26","date_updated":"2023-12-13T10:51:26Z","publication_identifier":{"issn":["1063-6560"]},"author":[{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"full_name":"Kotthoff, Lars","last_name":"Kotthoff","first_name":"Lars"},{"orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"},{"last_name":"Hoos","first_name":"Holger H.","full_name":"Hoos, Holger H."},{"full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann"}],"year":"2018","title":"Leveraging TSP Solver Complementarity through Machine Learning","doi":"10.1162/evco_a_00215","language":[{"iso":"eng"}]},{"publication_identifier":{"issn":["2475-9066"]},"author":[{"id":"102979","full_name":"Bossek, Jakob","first_name":"Jakob","orcid":"0000-0002-4121-4668","last_name":"Bossek"}],"title":"Grapherator: A Modular Multi-Step Graph Generator","status":"public","year":"2018","intvolume":"         3","date_updated":"2023-12-13T10:51:50Z","_id":"48866","language":[{"iso":"eng"}],"page":"528","volume":3,"user_id":"102979","doi":"10.21105/joss.00528","citation":{"bibtex":"@article{Bossek_2018, title={Grapherator: A Modular Multi-Step Graph Generator}, volume={3}, DOI={<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>}, number={22}, journal={Journal of Open Source Software}, author={Bossek, Jakob}, year={2018}, pages={528} }","ama":"Bossek J. Grapherator: A Modular Multi-Step Graph Generator. <i>Journal of Open Source Software</i>. 2018;3(22):528. doi:<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>","mla":"Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” <i>Journal of Open Source Software</i>, vol. 3, no. 22, 2018, p. 528, doi:<a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>.","short":"J. Bossek, Journal of Open Source Software 3 (2018) 528.","chicago":"Bossek, Jakob. “Grapherator: A Modular Multi-Step Graph Generator.” <i>Journal of Open Source Software</i> 3, no. 22 (2018): 528. <a href=\"https://doi.org/10.21105/joss.00528\">https://doi.org/10.21105/joss.00528</a>.","ieee":"J. Bossek, “Grapherator: A Modular Multi-Step Graph Generator,” <i>Journal of Open Source Software</i>, vol. 3, no. 22, p. 528, 2018, doi: <a href=\"https://doi.org/10.21105/joss.00528\">10.21105/joss.00528</a>.","apa":"Bossek, J. (2018). Grapherator: A Modular Multi-Step Graph Generator. <i>Journal of Open Source Software</i>, <i>3</i>(22), 528. <a href=\"https://doi.org/10.21105/joss.00528\">https://doi.org/10.21105/joss.00528</a>"},"publication":"Journal of Open Source Software","issue":"22","abstract":[{"lang":"eng","text":"Bossek, (2018). grapherator: A Modular Multi-Step Graph Generator. Journal of Open Source Software, 3(22), 528, https://doi.org/10.21105/joss.00528"}],"date_created":"2023-11-14T15:58:56Z","department":[{"_id":"819"}],"type":"journal_article"},{"citation":{"ieee":"Y. Huybrechts and F. Buylaert, “Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) ,” <i>EDAD MEDIA: Revista de Historia</i>, vol. 19, pp. 184–217, 2018, doi: <a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">10.24197/EM.19.2018.184-217 </a>.","apa":"Huybrechts, Y., &#38; Buylaert, F. (2018). Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) . <i>EDAD MEDIA: Revista de Historia</i>, <i>19</i>, 184–217. <a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">https://doi.org/10.24197/EM.19.2018.184-217 </a>","chicago":"Huybrechts, Yves, and Frederik Buylaert. “Blue Blood in the Red? Nobles on the Antwerp Annuity Market (1490-1493) .” <i>EDAD MEDIA: Revista de Historia</i> 19 (2018): 184–217. <a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">https://doi.org/10.24197/EM.19.2018.184-217 </a>.","short":"Y. Huybrechts, F. Buylaert, EDAD MEDIA: Revista de Historia 19 (2018) 184–217.","mla":"Huybrechts, Yves, and Frederik Buylaert. “Blue Blood in the Red? Nobles on the Antwerp Annuity Market (1490-1493) .” <i>EDAD MEDIA: Revista de Historia</i>, vol. 19, 2018, pp. 184–217, doi:<a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">10.24197/EM.19.2018.184-217 </a>.","bibtex":"@article{Huybrechts_Buylaert_2018, title={Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) }, volume={19}, DOI={<a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">10.24197/EM.19.2018.184-217 </a>}, journal={EDAD MEDIA: Revista de Historia}, author={Huybrechts, Yves and Buylaert, Frederik}, year={2018}, pages={184–217} }","ama":"Huybrechts Y, Buylaert F. Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) . <i>EDAD MEDIA: Revista de Historia</i>. 2018;19:184-217. doi:<a href=\"https://doi.org/10.24197/EM.19.2018.184-217 \">10.24197/EM.19.2018.184-217 </a>"},"publication":"EDAD MEDIA: Revista de Historia","date_created":"2023-12-18T09:19:34Z","oa":"1","type":"journal_article","publication_identifier":{"issn":["1138-9621 "]},"author":[{"full_name":"Huybrechts, Yves","last_name":"Huybrechts","orcid":"0009-0009-2166-9794","first_name":"Yves","id":"78579"},{"full_name":"Buylaert, Frederik","first_name":"Frederik","last_name":"Buylaert"}],"year":"2018","title":"Blue Blood in the Red? 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