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The irace package: Iterated racing for automatic algorithm configuration

Citations

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  1. Arda, Yasemin & Cattaruzza, Diego & François, Véronique & Ogier, Maxime, 2024. "Home chemotherapy delivery: An integrated production scheduling and multi-trip vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 317(2), pages 468-486.
  2. Ren, Jintong & Hao, Jin-Kao & Wu, Feng & Fu, Zhang-Hua, 2023. "An effective hybrid search algorithm for the multiple traveling repairman problem with profits," European Journal of Operational Research, Elsevier, vol. 304(2), pages 381-394.
  3. Kallestad, Jakob & Hasibi, Ramin & Hemmati, Ahmad & Sörensen, Kenneth, 2023. "A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 309(1), pages 446-468.
  4. Swan, Jerry & Adriaensen, Steven & Brownlee, Alexander E.I. & Hammond, Kevin & Johnson, Colin G. & Kheiri, Ahmed & Krawiec, Faustyna & Merelo, J.J. & Minku, Leandro L. & Özcan, Ender & Pappa, Gisele L, 2022. "Metaheuristics “In the Large”," European Journal of Operational Research, Elsevier, vol. 297(2), pages 393-406.
  5. Melo, Rafael A. & Queiroz, Michell F. & Ribeiro, Celso C., 2021. "Compact formulations and an iterated local search-based matheuristic for the minimum weighted feedback vertex set problem," European Journal of Operational Research, Elsevier, vol. 289(1), pages 75-92.
  6. Soriano, Adria & Vidal, Thibaut & Gansterer, Margaretha & Doerner, Karl, 2020. "The vehicle routing problem with arrival time diversification on a multigraph," European Journal of Operational Research, Elsevier, vol. 286(2), pages 564-575.
  7. Fink, Andreas & Gerhards, Patrick, 2021. "Negotiation mechanisms for the multi-agent multi-mode resource investment problem," European Journal of Operational Research, Elsevier, vol. 295(1), pages 261-274.
  8. Paquay, Célia & Limbourg, Sabine & Schyns, Michaël, 2018. "A tailored two-phase constructive heuristic for the three-dimensional Multiple Bin Size Bin Packing Problem with transportation constraints," European Journal of Operational Research, Elsevier, vol. 267(1), pages 52-64.
  9. Abdelrahman Hosny & Sherief Reda, 2024. "Automatic MILP solver configuration by learning problem similarities," Annals of Operations Research, Springer, vol. 339(1), pages 909-936, August.
  10. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.
  11. Véronique François & Yasemin Arda & Yves Crama, 2019. "Adaptive Large Neighborhood Search for Multitrip Vehicle Routing with Time Windows," Transportation Science, INFORMS, vol. 53(6), pages 1706-1730, November.
  12. Santos, Vinícius Gandra Martins & Carvalho, Marco Antonio Moreira de, 2021. "Tailored heuristics in adaptive large neighborhood search applied to the cutwidth minimization problem," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1056-1066.
  13. Felix Hübner & Patrick Gerhards & Christian Stürck & Rebekka Volk, 2021. "Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics," Journal of Scheduling, Springer, vol. 24(3), pages 269-290, June.
  14. Baquela, Enrique Gabriel & Olivera, Ana Carolina, 2019. "A novel hybrid multi-objective metamodel-based evolutionary optimization algorithm," Operations Research Perspectives, Elsevier, vol. 6(C).
  15. Zhang, Zhenzhen & Che, Yuxin & Liang, Zhe, 2024. "Split-demand multi-trip vehicle routing problem with simultaneous pickup and delivery in airport baggage transit," European Journal of Operational Research, Elsevier, vol. 312(3), pages 996-1010.
  16. Achamrah, Fatima Ezzahra & Puchinger, Jakob, 2024. "A gradient-descent-based framework for solving a stochastic two-echelon delivery problem with cargo-bikes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  17. Thomas Welchowski & Matthias Schmid, 2019. "Sparse kernel deep stacking networks," Computational Statistics, Springer, vol. 34(3), pages 993-1014, September.
  18. Gandra, Vinícius S.M. & Çalık, Hatice & Toffolo, Túlio A.M. & Carvalho, Marco Antonio M. & Vanden Berghe, Greet, 2022. "The vessel swap-body routing problem," European Journal of Operational Research, Elsevier, vol. 303(1), pages 354-369.
  19. Robin Mueller-Bady & Martin Kappes & Inmaculada Medina-Bulo & Francisco Palomo-Lozano, 2019. "An evolutionary hybrid search heuristic for monitor placement in communication networks," Journal of Heuristics, Springer, vol. 25(6), pages 861-899, December.
  20. Alfaro-Fernández, Pedro & Ruiz, Rubén & Pagnozzi, Federico & Stützle, Thomas, 2020. "Automatic Algorithm Design for Hybrid Flowshop Scheduling Problems," European Journal of Operational Research, Elsevier, vol. 282(3), pages 835-845.
  21. Wang, Yan & Hu, Hejuan & Sun, Xiaoyan & Zhang, Yong & Gong, Dunwei, 2022. "Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence," Applied Energy, Elsevier, vol. 328(C).
  22. Ji, Bin & Zhang, Dezhi & Zhang, Zheng & Yu, Samson S. & Van Woensel, Tom, 2022. "The generalized serial-lock scheduling problem on inland waterway: A novel decomposition-based solution framework and efficient heuristic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  23. de Souza, Marcelo & Ritt, Marcus & López-Ibáñez, Manuel & Pérez Cáceres, Leslie, 2021. "ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace," Operations Research Perspectives, Elsevier, vol. 8(C).
  24. Wang, Yiyuan & Pan, Shiwei & Al-Shihabi, Sameh & Zhou, Junping & Yang, Nan & Yin, Minghao, 2021. "An improved configuration checking-based algorithm for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 294(2), pages 476-491.
  25. Adria Soriano & Margaretha Gansterer & Richard F. Hartl, 2018. "The two-region multi-depot pickup and delivery problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 1077-1108, October.
  26. Zhou, Qing & Benlic, Una & Wu, Qinghua & Hao, Jin-Kao, 2019. "Heuristic search to the capacitated clustering problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 464-487.
  27. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
  28. Marco Corazza & Giacomo di Tollo & Giovanni Fasano & Raffaele Pesenti, 2021. "A novel hybrid PSO-based metaheuristic for costly portfolio selection problems," Annals of Operations Research, Springer, vol. 304(1), pages 109-137, September.
  29. Pagnozzi, Federico & Stützle, Thomas, 2021. "Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems with additional constraints," Operations Research Perspectives, Elsevier, vol. 8(C).
  30. David Woller & Jakub Rada & Miroslav Kulich, 2023. "The ALNS metaheuristic for the transmission maintenance scheduling," Journal of Heuristics, Springer, vol. 29(2), pages 349-382, June.
  31. de Oliveira, Raphael Mazzine Barbosa & Sörensen, Kenneth & Martens, David, 2024. "A model-agnostic and data-independent tabu search algorithm to generate counterfactuals for tabular, image, and text data," European Journal of Operational Research, Elsevier, vol. 317(2), pages 286-302.
  32. Lobo, Fernando G. & Bazargani, Mosab & Burke, Edmund K., 2020. "A cutoff time strategy based on the coupon collector’s problem," European Journal of Operational Research, Elsevier, vol. 286(1), pages 101-114.
  33. Turkeš, Renata & Sörensen, Kenneth & Hvattum, Lars Magnus, 2021. "Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search," European Journal of Operational Research, Elsevier, vol. 292(2), pages 423-442.
  34. Eng, KaiLun & Muhammed, Abdullah & Mohamed, Mohamad Afendee & Hasan, Sazlinah, 2020. "A hybrid heuristic of Variable Neighbourhood Descent and Great Deluge algorithm for efficient task scheduling in Grid computing," European Journal of Operational Research, Elsevier, vol. 284(1), pages 75-86.
  35. Mehmet Anıl Akbay & Christian Blum & Can Berk Kalayci, 2024. "CMSA based on set covering models for packing and routing problems," Annals of Operations Research, Springer, vol. 343(1), pages 1-38, December.
  36. Alex Gliesch & Marcus Ritt, 2022. "A new heuristic for finding verifiable k-vertex-critical subgraphs," Journal of Heuristics, Springer, vol. 28(1), pages 61-91, February.
  37. Toni I. Wickert & Alberto F. Kummer Neto & Márcio M. Boniatti & Luciana S. Buriol, 2021. "An integer programming approach for the physician rostering problem," Annals of Operations Research, Springer, vol. 302(2), pages 363-390, July.
  38. Molenbruch, Yves & Braekers, Kris & Caris, An, 2017. "Benefits of horizontal cooperation in dial-a-ride services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 97-119.
  39. Pessoa, Luciana S. & Andrade, Carlos E., 2018. "Heuristics for a flowshop scheduling problem with stepwise job objective function," European Journal of Operational Research, Elsevier, vol. 266(3), pages 950-962.
  40. Soares, Leonardo Cabral R. & Carvalho, Marco Antonio M., 2020. "Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints," European Journal of Operational Research, Elsevier, vol. 285(3), pages 955-964.
  41. Pagnozzi, Federico & Stützle, Thomas, 2019. "Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems," European Journal of Operational Research, Elsevier, vol. 276(2), pages 409-421.
  42. Carolina G. Marcelino & João V. C. Avancini & Carla A. D. M. Delgado & Elizabeth F. Wanner & Silvia Jiménez-Fernández & Sancho Salcedo-Sanz, 2021. "Dynamic Electric Dispatch for Wind Power Plants: A New Automatic Controller System Using Evolutionary Algorithms," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
  43. Sergio Cavero & Eduardo G. Pardo & Abraham Duarte, 2022. "A general variable neighborhood search for the cyclic antibandwidth problem," Computational Optimization and Applications, Springer, vol. 81(2), pages 657-687, March.
  44. Andrade, Carlos E. & Toso, Rodrigo F. & Gonçalves, José F. & Resende, Mauricio G.C., 2021. "The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications," European Journal of Operational Research, Elsevier, vol. 289(1), pages 17-30.
  45. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2022. "Environmental and social implications of incorporating carpooling service on a customized bus system," Post-Print hal-03598768, HAL.
  46. Alexandre D. Jesus & Luís Paquete & Arnaud Liefooghe, 2021. "A model of anytime algorithm performance for bi-objective optimization," Journal of Global Optimization, Springer, vol. 79(2), pages 329-350, February.
  47. Franzin, Alberto & Stützle, Thomas, 2023. "A landscape-based analysis of fixed temperature and simulated annealing," European Journal of Operational Research, Elsevier, vol. 304(2), pages 395-410.
  48. Benantar, A. & Abourraja, M.N. & Boukachour, J. & Boudebous, D. & Duvallet, C., 2020. "On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
  49. Tawfik, Christine & Gendron, Bernard & Limbourg, Sabine, 2022. "An iterative two-stage heuristic algorithm for a bilevel service network design and pricing model," European Journal of Operational Research, Elsevier, vol. 300(2), pages 512-526.
  50. Mario Levorato & David Sotelo & Rosa Figueiredo & Yuri Frota, 2024. "Efficient solutions to the m-machine robust flow shop under budgeted uncertainty," Annals of Operations Research, Springer, vol. 338(1), pages 765-799, July.
  51. Zhao, Jingyi & Poon, Mark & Tan, Vincent Y.F. & Zhang, Zhenzhen, 2024. "A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 317(3), pages 921-935.
  52. Bo Peng & Yuan Zhang & Yuvraj Gajpal & Xiding Chen, 2019. "A Memetic Algorithm for the Green Vehicle Routing Problem," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
  53. Nguyen, Tat Dat & Martinelli, Rafael & Pham, Quang Anh & Hà, Minh Hoàng, 2025. "The set team orienteering problem," European Journal of Operational Research, Elsevier, vol. 321(1), pages 75-87.
  54. Wu, Song & Yang, Wei & Hanafi, Saïd & Wilbaut, Christophe & Wang, Yang, 2024. "Iterated local search with ejection chains for the space-free multi-row facility layout problem," European Journal of Operational Research, Elsevier, vol. 316(3), pages 873-886.
  55. André Renato Villela Silva & Luiz Satoru Ochi & Bruno José da Silva Barros & Rian Gabriel S. Pinheiro, 2020. "Efficient approaches for the Flooding Problem on graphs," Annals of Operations Research, Springer, vol. 286(1), pages 33-54, March.
  56. Monira Essa Aloud, 2020. "The role of attribute selection in Deep ANNs learning framework for high‐frequency financial trading," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 43-54, April.
  57. De la Fuente, Rodrigo & Aguayo, Maichel M. & Contreras-Bolton, Carlos, 2024. "An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones," European Journal of Operational Research, Elsevier, vol. 313(2), pages 435-451.
  58. Ofer M. Shir & Xi. Xing & Herschel. Rabitz, 2021. "Multi-level evolution strategies for high-resolution black-box control," Journal of Heuristics, Springer, vol. 27(6), pages 1021-1055, December.
  59. GALARZA MONTENEGRO, Bryan David & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2023. "A demand-responsive feeder service with a maximum headway at mandatory stops," Working Papers 2023001, University of Antwerp, Faculty of Business and Economics.
  60. Araya, Ignacio & Moyano, Mauricio & Sanchez, Cristobal, 2020. "A beam search algorithm for the biobjective container loading problem," European Journal of Operational Research, Elsevier, vol. 286(2), pages 417-431.
  61. Speetzen, N. & Richter, P., 2021. "Dynamic aiming strategy for central receiver systems," Renewable Energy, Elsevier, vol. 180(C), pages 55-67.
  62. Pan, Binbin & Zhang, Zhenzhen & Lim, Andrew, 2021. "Multi-trip time-dependent vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 291(1), pages 218-231.
  63. Ritt, Marcus & Pereira, Jordi, 2020. "Heuristic and exact algorithms for minimum-weight non-spanning arborescences," European Journal of Operational Research, Elsevier, vol. 287(1), pages 61-75.
  64. Jeroen Corstjens & Nguyen Dang & Benoît Depaire & An Caris & Patrick Causmaecker, 2019. "A combined approach for analysing heuristic algorithms," Journal of Heuristics, Springer, vol. 25(4), pages 591-628, October.
  65. Ji, Bin & Yuan, Xiaohui & Yuan, Yanbin & Lei, Xiaohui & Fernando, Tyrone & Iu, Herbert H.C., 2019. "Exact and heuristic methods for optimizing lock-quay system in inland waterway," European Journal of Operational Research, Elsevier, vol. 277(2), pages 740-755.
  66. Alexander E. I. Brownlee & Michael G. Epitropakis & Jeroen Mulder & Marc Paelinck & Edmund K. Burke, 2022. "A systematic approach to parameter optimization and its application to flight schedule simulation software," Journal of Heuristics, Springer, vol. 28(4), pages 509-538, August.
  67. Li, Mingjie & Hao, Jin-Kao & Wu, Qinghua, 2022. "Learning-driven feasible and infeasible tabu search for airport gate assignment," European Journal of Operational Research, Elsevier, vol. 302(1), pages 172-186.
  68. Vicencio-Medina, Salvador J. & Rios-Solis, Yasmin A. & Ibarra-Rojas, Omar Jorge & Cid-Garcia, Nestor M. & Rios-Solis, Leonardo, 2023. "The maximal covering location problem with accessibility indicators and mobile units," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
  69. Zhou, Qing & Hao, Jin-Kao & Wu, Qinghua, 2022. "A hybrid evolutionary search for the generalized quadratic multiple knapsack problem," European Journal of Operational Research, Elsevier, vol. 296(3), pages 788-803.
  70. Blum, Christian & Ochoa, Gabriela, 2021. "A comparative analysis of two matheuristics by means of merged local optima networks," European Journal of Operational Research, Elsevier, vol. 290(1), pages 36-56.
  71. Moosavi, Amirhossein & Ozturk, Onur & Patrick, Jonathan, 2022. "Staff scheduling for residential care under pandemic conditions: The case of COVID-19," Omega, Elsevier, vol. 112(C).
  72. Zhou, Qing & Benlic, Una & Wu, Qinghua, 2020. "An opposition-based memetic algorithm for the maximum quasi-clique problem," European Journal of Operational Research, Elsevier, vol. 286(1), pages 63-83.
  73. Weiner, Jake & Ernst, Andreas T. & Li, Xiaodong & Sun, Yuan & Deb, Kalyanmoy, 2021. "Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid," European Journal of Operational Research, Elsevier, vol. 293(3), pages 847-862.
  74. Diaz, Juan Esteban & López-Ibáñez, Manuel, 2021. "Incorporating decision-maker’s preferences into the automatic configuration of bi-objective optimisation algorithms," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1209-1222.
  75. He, Pengfei & Hao, Jin-Kao, 2023. "Memetic search for the minmax multiple traveling salesman problem with single and multiple depots," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1055-1070.
  76. Gliesch, Alex & Ritt, Marcus, 2021. "A hybrid heuristic for the maximum dispersion problem," European Journal of Operational Research, Elsevier, vol. 288(3), pages 721-735.
  77. Gobeyn, Sacha & Mouton, Ans M. & Cord, Anna F. & Kaim, Andrea & Volk, Martin & Goethals, Peter L.M., 2019. "Evolutionary algorithms for species distribution modelling: A review in the context of machine learning," Ecological Modelling, Elsevier, vol. 392(C), pages 179-195.
  78. Pinacho Davidson, Pedro & Blum, Christian & Lozano, Jose A., 2018. "The weighted independent domination problem: Integer linear programming models and metaheuristic approaches," European Journal of Operational Research, Elsevier, vol. 265(3), pages 860-871.
  79. Máximo, Vinícius R. & Nascimento, Mariá C.V., 2021. "A hybrid adaptive iterated local search with diversification control to the capacitated vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1108-1119.
  80. Drake, John H. & Kheiri, Ahmed & Özcan, Ender & Burke, Edmund K., 2020. "Recent advances in selection hyper-heuristics," European Journal of Operational Research, Elsevier, vol. 285(2), pages 405-428.
  81. Sean P. Walton & M. Rowan Brown, 2019. "Predicting effective control parameters for differential evolution using cluster analysis of objective function features," Journal of Heuristics, Springer, vol. 25(6), pages 1015-1031, December.
  82. de Castro Pena, Guilherme & Santos, Andréa Cynthia & Prins, Christian, 2023. "Solving the integrated multi-period scheduling routing problem for cleaning debris in the aftermath of disasters," European Journal of Operational Research, Elsevier, vol. 306(1), pages 156-172.
  83. Wei, Zequn & Hao, Jin-Kao & Ren, Jintong & Glover, Fred, 2023. "Responsive strategic oscillation for solving the disjunctively constrained knapsack problem," European Journal of Operational Research, Elsevier, vol. 309(3), pages 993-1009.
  84. Zhou, Yangming & Wang, Gezi & Hao, Jin-Kao & Geng, Na & Jiang, Zhibin, 2023. "A fast tri-individual memetic search approach for the distance-based critical node problem," European Journal of Operational Research, Elsevier, vol. 308(2), pages 540-554.
  85. Cruz, Yarens J. & Villalonga, Alberto & Castaño, Fernando & Rivas, Marcelino & Haber, Rodolfo E., 2024. "Automated machine learning methodology for optimizing production processes in small and medium-sized enterprises," Operations Research Perspectives, Elsevier, vol. 12(C).
  86. Martín-Santamaría, Raúl & López-Ibáñez, Manuel & Stützle, Thomas & Colmenar, J. Manuel, 2024. "On the automatic generation of metaheuristic algorithms for combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 318(3), pages 740-751.
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