Dear Locators,
The attached announcement for the Online Seminar Series Machine Learning NeEDS Mathematical Optimization may be interesting for many of you.
Cheers,
Hatice
________________________________
From: EMILIO J CARRIZOSA PRIEGO <ecarrizosa(a)us.es>
Sent: 20 September 2023 12:39
To: Hatice ÇALIK; carmela.piccolo(a)unina.it; DIEGO PONCE LOPEZ
Cc: Dolores Romero Morales; EMILIO J CARRIZOSA PRIEGO
Subject: Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Dear colleagues,
We are launching Session 6 of our Online Seminar Series Machine Learning NeEDS Mathematical Optimization.
We would kindly ask you to distribute among the members of the EWGLA and those colleagues potentially interested, the announcement below. Thanks a lot for your help!
Greetings,
Dolores Romero Morales and Emilio Carrizosa
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Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Dear colleagues,
We are happy to announce that on October 2, we are starting Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/. Find below the tentative program. This seminar series is an activity from the EU H2020 MSCA RISE NeEDS project, https://riseneeds.eu/ branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org
Tentative Program
October 2, 2023
Prof Mike Baiocchi, Stanford University, USA
Title: Outcome Reasoning: the under-discussed engine powering black box development
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c8ae1469ed034fddb17cddcde67…
October 9, 2023
YOUNG
Caroline Spieckermann, Technical University of Munich, Munich, Germany
Title: A Graph Neural Network-based Reduce-then-Optimize Heuristic for the Fixed-Charge Transportation Problem
Miaolan Xie, Cornell University, USA
Title: Reliable Adaptive Stochastic Optimization with High Probability Guarantees
Quan Zhou, Imperial College London, UK
Title: Frontier Challenges in AI: The case of algorithmic bias in forecasting tools
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e6d83628f37b4f65adfb6062ee0…
October 23, 2023
Prof Daniel Kuhn, EPFL, Switzerland Title: Metrizing Fairness
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/6e6638bbdd854181b21637e1e8c…
October 30, 2023
Prof Yael Grushka-Cockayne, University of Virginia, USA
Title: Challenges of Combining Forecasts from Correlated Sources
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c1702ac72a8244e6b0f93cf5bef…
November 6, 2023
Prof Adam Elmachtoub, Columbia University, USA
Title: Smart Predict-then Optimize for Contextual Linear Optimization: Theory and Computation
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/40a20d4cc309494fa78f3d0b881…
November 13, 2023
Prof Martin Schmidt, Trier University, Germany
Title: The Minimum Sum-of-Squares Clustering Problem: Robustification and Global Optimization Techniques
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/0a4bbb97d3fa49c589ec644496e…
November 20, 2023
Prof Emilia Gomez, Joint Research Centre, European Commission & Universitat Pompeu Fabra, Spain
Title: Scientific challenges, practical methodologies and policy perspectives for trustworthy AI
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/186b1c65f74b4189ad852fb9ab0…
November 27, 2023
Prof Jordi Castro, Universitat Politecnica de Catalunya, Spain
Title: An interior-point solver for large structured optimization and (data science and alternative) applications
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e80c02d25f9b489f8f3c6e644ed…
December 4, 2023
Prof Bilge Atasoy, Delft University of Technology, The Netherlands
Title: Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning
Link to talk: https://eu.bbcollab.com/guest/0953c0928387448397ba36a45eaef74d
Looking forward to e-seeing you there!
The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Thomas Halskov, Copenhagen Business School
Dolores Romero Morales, Copenhagen Business School
Dear ewgla member,
Please find below (and attached in Bibtexformat) another list of Location related references, now most from this year, but incomplete by far. More next month.
Sincerely,
Frank Plastria
Prof. Em. Frank Plastria
BUTO, Vrije Universiteit Brussel
frank.plastria(a)vub.be<mailto:frank.plastria@vub.be>
[1] Mehdi Alizadeh, Mir Saman Pishvaee, Hamed Jahani, Mohammad Mahdi Paydar, and Ahmad Makui. Viable healthcare supply chain network design for a pandemic. Annals of Operations Research, 328(1):35--73, sep 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04934-7> ]
[2] Sumayah Al-Rabiaah, Manar Hosny, and Sarab AlMuhaideb. An efficient greedy randomized heuristic for the maximum coverage facility location problem with drones in healthcare. Applied Sciences, 12(3):1403, jan 2022. [ DOI<http://dx.doi.org/10.3390/app12031403> ]
[3] Elif Bozkaya, Levent Eriskin, and Mumtaz Karatas. Data analytics during pandemics: a transportation and location planning perspective. Annals of Operations Research, 328(1):193--244, aug 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04884-0> ]
[4] Fariba Goodarzian, Ali Navaei, Behdad Ehsani, Peiman Ghasemi, and Jesús Muñuzuri. Designing an integrated responsive-green-cold vaccine supply chain network using internet-of-things: artificial intelligence-based solutions. Annals of Operations Research, 328(1):531--575, may 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04713-4> ]
[5] Soheyl Khalilpourazari and Hossein Hashemi Doulabi. A flexible robust model for blood supply chain network design problem. Annals of Operations Research, 328(1):701--726, apr 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04673-9> ]
[6] Ghazale Kordi, Parsa Hasanzadeh-Moghimi, Mohammad Mahdi Paydar, and Ebrahim Asadi-Gangraj. A multi-objective location-routing model for dental waste considering environmental factors. Annals of Operations Research, 328(1):755--792, jun 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04794-1> ]
[7] Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Mohammad Arani, and Jeremy Mattson. Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply. Annals of Operations Research, 328(1):859--901, sep 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04930-x> ]
[8] Vladimir Simic, Ali Ebadi Torkayesh, and Abtin Ijadi Maghsoodi. Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm. Annals of Operations Research, 328(1):1105--1150, jul 2022. [ DOI<http://dx.doi.org/10.1007/s10479-022-04822-0> ]
[9] Méziane Aider, Imene Dey, and Mhand Hifi. A hybrid population-based algorithm for solving the fuzzy capacitated maximal covering location problem. Computers & Industrial Engineering, 177:108982, mar 2023. [ DOI<http://dx.doi.org/10.1016/j.cie.2023.108982> ]
[10] Leilanaz Akbari, Ahmad Kazemi, and Majid Salari. Operational planning of vehicles for rescue and relief operations considering the unavailability of the relocated vehicles. Socio-Economic Planning Sciences, 88:101652, aug 2023. [ DOI<http://dx.doi.org/10.1016/j.seps.2023.101652> ]
[11] Beste Akbas and Ayse Selin Kocaman. A planar facility location -allocation problem with fixed and/or variable cost structures for rural electrification. Computers & Operations Research, 154:106202, jun 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106202> ]
[12] Maria Albareda-Sambola, Mercedes Landete, Juan F. Monge, and José L. Sainz-Pardo. An exact approach for the reliable fixed-charge location problem with capacity constraints. European Journal of Operational Research, 311(1):24--35, nov 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.04.017> ]
[13] Reza Alikhani, Majid Eskandarpour, and Hamed Jahani. Collaborative distribution network design with surging demand and facility disruptions. International Journal of Production Economics, 262:108912, aug 2023. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2023.108912> ]
[14] Afaf Aloullal, Francisco Saldanha da Gama, and Raca Todosijević. Multi-period single-allocation hub location-routing: Models and heuristic solutions. European Journal of Operational Research, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.02.003> ]
[15] Alireza Amini, Reza Tavakkoli-Moghaddam, Sadoullah Ebrahimnejad, and Ali Ghodratnama. Mathematical modeling of a competitive transportation-location arc routing problem. Computers & Industrial Engineering, 182:109400, aug 2023. [ DOI<http://dx.doi.org/10.1016/j.cie.2023.109400> ]
[16] Laura Anton-Sanchez, Mercedes Landete, and Francisco Saldanha da Gama. The discrete p-center location problem with upgrading. Omega, 119:102894, sep 2023. [ DOI<http://dx.doi.org/10.1016/j.omega.2023.102894> ]
[17] Homa Ataei and Mansoor Davoodi. The p-center problem under locational uncertainty of demand points. Discrete Optimization, 47:100759, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.disopt.2023.100759> ]
[18] Pasquale Avella, Alice Calamita, and Laura Palagi. A compact formulation for the base station deployment problem in wireless networks. Networks, 82(1):52--67, apr 2023. [ DOI<http://dx.doi.org/10.1002/net.22146> ]
[19] Igor Averbakh and Wei Yu. The probabilistic uncapacitated open vehicle routing location problem. Networks, 82(1):68--83, apr 2023. [ DOI<http://dx.doi.org/10.1002/net.22147> ]
[20] Aritra Banik, Rajiv Raman, and Saurabh Ray. On the geometric priority set cover problem. Computational Geometry, 112:101984, jun 2023. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2023.101984> ]
[21] Simanta Barman and Michael W. Levin. Throughput properties and optimal locations for limited deployment of max-pressure controls. Transportation Research Part C: Emerging Technologies, 150:104105, may 2023. [ DOI<http://dx.doi.org/10.1016/j.trc.2023.104105> ]
[22] Mario José Basallo-Triana, Juan José Bravo-Bastidas, Ivan Contreras, Jean-François Cordeau, and Carlos Julio Vidal-Holguín. Intermodal hub network design with generalized capacity constraints and non-synchronized train -truck operations. Transportation Research Part B: Methodological, 174:102770, aug 2023. [ DOI<http://dx.doi.org/10.1016/j.trb.2023.05.007> ]
[23] Tomáš Bayer, Ivana Kolingerová, Markéta Potůčková, Miroslav Čábelka, and Eva Štefanová. An incremental facility location clustering with a new hybrid constrained pseudometric. Pattern Recognition, 141:109520, sep 2023. [ DOI<http://dx.doi.org/10.1016/j.patcog.2023.109520> ]
[24] Cédric Bentz, Marie-Christine Costa, Pierre-Louis Poirion, and Thomas Ridremont. Robust capacitated steiner trees and networks with uniform demands. Networks, 82(1):3--31, mar 2023. [ DOI<http://dx.doi.org/10.1002/net.22143> ]
[25] Canser Bilir. Effect of demand uncertainty on omnichannel distribution network design strategies. International Transactions in Operational Research, may 2023. [ DOI<http://dx.doi.org/10.1111/itor.13310> ]
[26] Víctor Blanco, Ricardo Gázquez, Diego Ponce, and Justo Puerto. A branch-and-price approach for the continuous multifacility monotone ordered median problem. European Journal of Operational Research, 306(1):105--126, apr 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.07.020> ]
[27] Víctor Blanco, Elena Fernández, and Yolanda Hinojosa. Hub location with protection under interhub link failures. INFORMS Journal on Computing, may 2023. [ DOI<http://dx.doi.org/10.1287/ijoc.2023.1296> ]
[28] Víctor Blanco and Ricardo Gázquez. Fairness in maximal covering location problems. Computers & Operations Research, 157:106287, sep 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106287> ]
[29] Rafael Blanquero, Emilio Carrizosa, Boglárka G.-Tóth, and Kristóf Kovács. Solving the 1-median problem on a network with continuous demand and demand surplus. Computers & Operations Research, 160:106399, dec 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106399> ]
[30] Marin Bougeret, Jérémy Omer, and Michael Poss. Optimization problems in graphs with locational uncertainty. INFORMS Journal on Computing, 35(3):578--592, mar 2023. [ DOI<http://dx.doi.org/10.1287/ijoc.2023.1276> ]
[31] Kirk Boyer, Paul Horn, and Mario A. Lopez. Extremal problems on ray sensor configurations. Discrete Applied Mathematics, 332:87--100, jun 2023. [ DOI<http://dx.doi.org/10.1016/j.dam.2023.01.005> ]
[32] Sergio Cabello. Faster distance-based representative skyline and k-center along pareto front in the plane. Journal of Global Optimization, 86(2):441--466, mar 2023. [ DOI<http://dx.doi.org/10.1007/s10898-023-01280-1> ]
[33] Yutong Cai, Ghim Ping Ong, and Qiang Meng. Bicycle sharing station planning: From free-floating to geo-fencing. Transportation Research Part C: Emerging Technologies, 147:103990, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.trc.2022.103990> ]
[34] Davide Cazzaro, David Franz Koza, and David Pisinger. Combined layout and cable optimization of offshore wind farms. European Journal of Operational Research, may 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.04.046> ]
[35] Cihan Çetinkaya, Mehmet Erbas, Mehmet Kabak, and Eren Özceylan. A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach. Socio-Economic Planning Sciences, 85:101376, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101376> ]
[36] Timothy M. Chan. Faster algorithms for largest empty rectangles and boxes. Discrete & Computational Geometry, 70(2):355--375, jan 2023. [ DOI<http://dx.doi.org/10.1007/s00454-022-00473-x> ]
[37] Kuo-Hao Chang, Tzu-Li Chen, Fu-Hao Yang, and Tzu-Yin Chang. Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident. European Journal of Operational Research, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.01.065> ]
[38] Yunkai Chen, Quanwu Zhao, Wei Wang, and Shu Zhang. Mixed multi-echelon location routing problem with differentiated intermediate depots. Computers & Industrial Engineering, 177:109026, mar 2023. [ DOI<http://dx.doi.org/10.1016/j.cie.2023.109026> ]
[39] Yuehong Chen, Guohao Wu, Yu Chen, and Zelong Xia. Spatial location optimization of fire stations with traffic status and urban functional areas. Applied Spatial Analysis and Policy, jan 2023. [ DOI<http://dx.doi.org/10.1007/s12061-023-09502-5> ]
[40] Liang Chen, Sheng-Jie Chen, Wei-Kun Chen, Yu-Hong Dai, Tao Quan, and Juan Chen. Efficient presolving methods for solving maximal covering and partial set covering location problems. European Journal of Operational Research, 311(1):73--87, nov 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.04.044> ]
[41] Aixia Chen and Yankui Liu. Optimizing sustainable biomass-coal co-firing power plant location problem under ambiguous supply. Computers & Industrial Engineering, 182:109401, aug 2023. [ DOI<http://dx.doi.org/10.1016/j.cie.2023.109401> ]
[42] Linlin Chen, Shuihua Han, Zhen Ye, and Senmao Xia. The optimisation of the location of front distribution centre: A spatio-temporal joint perspective. International Journal of Production Economics, 263:108950, sep 2023. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2023.108950> ]
[43] Jongmin Choi, Dahye Jeong, and Hee-Kap Ahn. Covering convex polygons by two congruent disks. Computational Geometry, 109:101936, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2022.101936> ]
[44] Richard L. Church, Zvi Drezner, and Pawel Kalczynski. Extensions to the planar p-median problem. Annals of Operations Research, 326(1):115--135, apr 2023. [ DOI<http://dx.doi.org/10.1007/s10479-023-05279-5> ]
[45] Jake Clarkson, Kyle Y. Lin, and Kevin D. Glazebrook. A classical search game in discrete locations. Mathematics of Operations Research, 48(2):687--707, may 2023. [ DOI<http://dx.doi.org/10.1287/moor.2022.1279> ]
[46] Nicolás Clavijo-Buritica, Laura Triana-Sanchez, and John Willmer Escobar. A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain. Socio-Economic Planning Sciences, 85:101431, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101431> ]
[47] René Corbet, Michael Kerber, Michael Lesnick, and Georg Osang. Computing the multicover bifiltration. Discrete & Computational Geometry, 70(2):376--405, feb 2023. [ DOI<http://dx.doi.org/10.1007/s00454-022-00476-8> ]
[48] Davide Croci, Ola Jabali, and Federico Malucelli. The balanced p-median problem with unitary demand. Computers & Operations Research, 155:106242, jul 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106242> ]
[49] Janiele Custodio and Hernan Abeledo. Drone-based environmental emergency response in the brazilian amazon. Drones, 7(9):554, aug 2023. [ DOI<http://dx.doi.org/10.3390/drones7090554> ]
[50] Tien Thanh Dam, Thuy Anh Ta, and Tien Mai. Robust maximum capture facility location under random utility maximization models. European Journal of Operational Research, 310(3):1128--1150, nov 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.04.024> ]
[51] Mohammad Daneshvar, Sanjay Dominik Jena, and Walter Rei. A two-stage stochastic post-disaster humanitarian supply chain network design problem. Computers & Industrial Engineering, 183:109459, sep 2023. [ DOI<http://dx.doi.org/10.1016/j.cie.2023.109459> ]
[52] Arun Kumar Das, Sandip Das, and Joydeep Mukherjee. Approximation algorithms for orthogonal line centers. Discrete Applied Mathematics, 338:69--76, oct 2023. [ DOI<http://dx.doi.org/10.1016/j.dam.2023.05.014> ]
[53] Kraig Delana, Sarang Deo, Kamalini Ramdas, Ganesh-Babu B. Subburaman, and Thulasiraj Ravilla. Multichannel delivery in healthcare: The impact of telemedicine centers in southern india. Management Science, 69(5):2568--2586, may 2023. [ DOI<http://dx.doi.org/10.1287/mnsc.2022.4488> ]
[54] Antonio Diglio, Juanjo Peiró, Carmela Piccolo, and Francisco Saldanha da Gama. Approximation schemes for districting problems with probabilistic constraints. European Journal of Operational Research, 307(1):233--248, may 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2022.09.005> ]
[55] Zvi Drezner, Jack Brimberg, and Anita Schöbel. A trajectory based heuristic for the planar p-median problem. Computers & Operations Research, 158:106296, oct 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106296> ]
[56] Zvi Drezner and Dawit Zerom. Competitive facility location under attrition. Computational Management Science, 20(1), aug 2023. [ DOI<http://dx.doi.org/10.1007/s10287-023-00473-z> ]
[57] Okan Dukkanci, Achim Koberstein, and Bahar Y. Kara. Drones for relief logistics under uncertainty after an earthquake. European Journal of Operational Research, mar 2023. [ DOI<http://dx.doi.org/10.1016/j.ejor.2023.02.038> ]
[58] H. A. Eiselt, Vladimir Marianov, and Joyendu Bhadury. Multicriteria Location Analysis. Springer International Publishing, 2023. [ DOI<http://dx.doi.org/10.1007/978-3-031-23876-5> ]
[59] Amin Eshkiti, Fatemeh Sabouhi, and Ali Bozorgi-Amiri. A data-driven optimization model to response to COVID-19 pandemic: a case study. Annals of Operations Research, 328(1):337--386, jun 2023. [ DOI<http://dx.doi.org/10.1007/s10479-023-05320-7> ]
[60] Inmaculada Espejo, Alfredo Marín, Juan M. Muñoz-Ocaña, and Antonio M. Rodríguez-Chía. A new formulation and branch-and-cut method for single-allocation hub location problems. Computers & Operations Research, 155:106241, jul 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106241> ]
[61] Sherif A. Fahmy, Areej M. Zaki, and Yomna H. Gaber. Optimal locations and flow allocations for aggregation hubs in supply chain networks of perishable products. Socio-Economic Planning Sciences, 86:101500, apr 2023. [ DOI<http://dx.doi.org/10.1016/j.seps.2022.101500> ]
[62] Mojtaba Farrokh, Ehsan Ahmadi, and Minghe Sun. A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions. OPSEARCH, 60(3):1082--1120, may 2023. [ DOI<http://dx.doi.org/10.1007/s12597-023-00643-2> ]
[63] Jafar Fathali and Mehdi Zaferanieh. The balanced 2-median and 2-maxian problems on a tree. Journal of Combinatorial Optimization, 45(2), feb 2023. [ DOI<http://dx.doi.org/10.1007/s10878-023-00997-9> ]
[64] Xin Feng. Multiplant location involving resource allocation. Geographical Analysis, may 2023. [ DOI<http://dx.doi.org/10.1111/gean.12366> ]
[65] Carlo Filippi, Gianfranco Guastaroba, Lorenzo Peirano, and M. Grazia Speranza. Incorporating time-dependent demand patterns in the optimal location of capacitated charging stations. Transportation Research Part C: Emerging Technologies, 152:104145, jul 2023. [ DOI<http://dx.doi.org/10.1016/j.trc.2023.104145> ]
[66] Vera Fischer and Sanne Wøhlk. A logic-based benders decomposition solution approach for two covering problems that consider the underlying transportation. Computers & Operations Research, 160:106393, dec 2023. [ DOI<http://dx.doi.org/10.1016/j.cor.2023.106393> ]
[67] Martina Fischetti and Matteo Fischetti. Integrated layout and cable routing in wind farm optimal design. Management Science, 69(4):2147--2164, apr 2023. [ DOI<http://dx.doi.org/10.1287/mnsc.2022.4470> ]
[68] Caio César De Freitas, Dario José Aloise, Fábio Francisco Da Costa Fontes, Andréa Cynthia Santos, and Matheus Da Silva Menezes. A biased random-key genetic algorithm for the two-level hub location routing problem with directed tours. OR Spectrum, 45(3):903--924, apr 2023. [ DOI<http://dx.doi.org/10.1007/s00291-023-00718-y> ]
[69] Rachel Friederich, Anirban Ghosh, Matthew Graham, Brian Hicks, and Ronald Shevchenko. Experiments with unit disk cover algorithms for covering massive pointsets. Computational Geometry, 109:101925, feb 2023. [ DOI<http://dx.doi.org/10.1016/j.comgeo.2022.101925> ]