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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Number of items: 29.

Alozie, Glory and Akartunali, Kerem and Arulselvan, Ashwin; Hamid, Faiz, ed. (2024) Modeling and exact solution approaches for the distance-based critical node and edge detection problems. In: Optimization Essentials. International Series in Operations Research & Management Science (1). Springer Singapore. ISBN 9789819954919 (In Press)

Cowlishaw, Robert and Arulselvan, Ashwin and Riccardi, Annalisa (2024) Multi-objective optimisation strategy for on-orbit fault-tolerant decision making. In: 2024 IEEE World Congress on Computational Intelligence (WCCI), 2024-06-30 - 2024-07-05.

Ghatkar, Shraddha and Arulselvan, Ashwin and Morton, Alec (2023) Solution techniques for Bi-level Knapsack Problems. Computers & Operations Research, 159. 106343. ISSN 0305-0548

Murray, Andrew and Arulselvan, Ashwin and Roper, Marc and Cashmore, Michael and Mohalik, Swarup Kumar and Burdick, Ian and David, Sushanth; (2023) The cost of quality of service : SLA aware VNF placement and routing using column generation. In: Proceedings of 2023 13th International Workshop on Resilient Networks Design and Modeling (RNDM). International Workshop on Resilient Networks Design and Modeling (RNDM) . IEEE, DEU. ISBN 9798350327359

Cowlishaw, Robert and Boumghar, Red and Arulselvan, Ashwin and Riccardi, Annalisa (2023) Automating and decentralising satellite-based emergency mapping. In: 5th International Conference on Blockchain Computing and Applications, 2023-10-24 - 2023-10-26.

Murray, Andrew and Arulselvan, Ashwin and Cashmore, Michael and Roper, Marc and Frank, Jeremy; Koenig, Sven and Stern, Roni and Vallati, Mauro, eds. (2023) A column generation approach to correlated simple temporal networks. In: Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling. Proceedings of the International Conference on Automated Planning and Scheduling . AAAI Press, CZE, pp. 295-303. ISBN 9781577358817

Boumghar, Red and Riccardi, Annalisa and Ameen, Shazhad and Arulselvan, Ashwin and Minisci, Edmondo (2022) Decentralized and automated business logic in a future MBSE blockchain ecosystem. In: Model Based Space Systems and Software Engineering - MBSE2022, 2022-11-22 - 2022-11-24, Airbus Leadership Academy.

Boumghar, Redouane and Ameen, Shazad and Riccardi, Annalisa and Arulselvan, Ashwin and Minisci, Edmondo and Bui Long, AnhToan and Pizarro De La Iglesia, José (2022) Decentralized trust management in concurrent design using blockchain. In: 10th International Systems & Concurrent Engineering for Space Applications Conference (SECESA 2022), 2022-10-05 - 2022-10-07, Digital Event.

Murray, Andrew and Cashmore, Michael and Arulselvan, Ashwin and Frank, Jeremy; (2022) Joint chance constrained probabilistic simple temporal networks via column generation. In: 15th International Symposium on Combinatorial Search. Association for the Advancement of Artificial Intelligence, California, USA, pp. 305-307. ISBN 1577358732

Murray, Andrew and Cashmore, Michael and Arulselvan, Ashwin (2022) Joint chance constrained probabilistic simple temporal networks via column generation (extended abstract). In: 19th International Conference on the Integration of Constraint Programmng, Artificial Intelligence, and Operations Research, 2022-06-20 - 2022-06-23, https://sites.google.com/usc.edu/cpaior-2022.

Alozie, Glory Uche and Arulselvan, Ashwin and Akartunali, Kerem and Pasiliao, Jr., Eduardo L (2022) A heuristic approach for the distance-based critical node detection problem in complex networks. Journal of the Operational Research Society, 73 (6). pp. 1347-1361. ISSN 0160-5682

Arulselvan, Ashwin and Akartunali, Kerem and van den Heuvel, Wilco (2022) Economic lot-sizing problem with remanufacturing option : complexity and algorithms. Optimization Letters, 16 (2). 421–432. ISSN 1862-4472

Polnik, Mateusz and Arulselvan, Ashwin and Riccardi, Annalisa (2021) Scheduling space-to-ground optical communication under cloud cover uncertainty. IEEE Transactions on Aerospace and Electronic Systems, 57 (5). pp. 2838-2849. ISSN 0018-9251

Alozie, Glory Uche and Arulselvan, Ashwin and Akartunali, Kerem and Pasiliao Jr, Eduardo l. (2021) Efficient methods for the distance-based critical node detection problem in complex networks. Computers & Operations Research, 131. 105254. ISSN 0305-0548

Attila, Öykü Naz and Agra, Agostinho and Akartunali, Kerem and Arulselvan, Ashwin (2021) Robust formulations for economic lot-sizing problem with remanufacturing. European Journal of Operational Research, 288 (2). pp. 496-510. ISSN 0377-2217

Polnik, Mateusz and Mazzarella, Luca and Di Carlo, Marilena and Oi, Daniel KL and Riccardi, Annalisa and Arulselvan, Ashwin (2020) Scheduling of space to ground quantum key distribution. EPJ Quantum Technology, 7. 3. ISSN 2196-0763

Arulselvan, Ashwin and Bley, Andreas and Ljubić, Ivana (2019) The incremental connected facility location problem. Computers & Operations Research, 112. pp. 1-17. 104763. ISSN 0305-0548

Broby, Daniel and Basu, Devraj and Arulselvan, Ashwin (2019) The role of precision timing in stock market price discovery when trading through distributed ledgers. Journal of Business Thought, 10 (1). ISSN 2231-1734

Morton, Alec and Arulselvan, Ashwin and Thomas, Ranjeeta (2018) Allocation rules for global donors. Journal of Health Economics, 58. pp. 67-75. ISSN 0167-6296

Arulselvan, Ashwin and Rezapour, Mohsen and Welz, Wolfgang A. (2017) Exact approaches for designing multifacility buy-at-bulk networks. INFORMS Journal on Computing, 29 (4). pp. 597-611. ISSN 1526-5528

Attila, Öykü Naz and Agra, Agostinho and Akartunali, Kerem and Arulselvan, Ashwin; Gervasi, Osvaldo, ed. (2017) A decomposition algorithm for robust lot sizing problem with remanufacturing option. In: Computational Science and its Applications - ICCSA 2017. Lecture Notes in Computer Science, 10405 . Springer, ITA, pp. 684-695. ISBN 9783319623948

Kotoky, Atreya and Mahajan, Ashutosh and Arulselvan, Ashwin and Belur, Madhu N. and Kalaimani, Rachel K.; (2017) Minimum controller substructure for generic arbitrary pole placement : multicommodity flow and TSP based formulations. In: 2016 European Control Conference (ECC). IEEE, DNK, pp. 849-854. ISBN 9781509025916

Arulselvan, Ashwin and Cseh, Ágnes and Groß, Martin and Manlove, David F. and Matuschke, Jannik (2016) Matchings with lower quotas : algorithms and complexity. Algorithmica, 80. pp. 185-208. ISSN 1432-0541

Arulselvan, Ashwin and Cseh, Ágnes and Groß, Martin and Manlove, David F. and Matuschke, Jannik; (2015) Many-to-one matchings with lower quotas : algorithms and complexity. In: Algorithms and Computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9472 . Springer-Verlag, JPN, pp. 176-187. ISBN 9783662489703

Arulselvan, Ashwin and Groß, Martin and Skutella, Martin (2015) Graph orientation and flows over time. Networks, 66 (3). pp. 196-209. ISSN 1097-0037

Arulselvan, Ashwin (2015) On the geometric rank of matching polytope. Mathematical Programming, 152 (1). pp. 189-200. ISSN 1436-4646

Arulselvan, Ashwin and Maurer, Olaf and Skutella, Martin (2015) An incremental algorithm for uncapacitated facility location problem. Networks, 65 (4). 306–311. ISSN 1097-0037

Morton, Alec and Arulselvan, Ashwin (2015) Maximising the Benefits of Foreign Aid : Leveraging In-Country Financing. University of Strathclyde.

Arulselvan, Ashwin and Groß, Martin and Skutella, Martin; Ahn, Hee-Kap and Shin, Chan-Su, eds. (2014) Graph orientations and flows over time. In: Algorithms and Computation. Lecture Notes in Computer Science . Springer, KOR, pp. 741-752. ISBN 9783319130743

This list was generated on Fri Oct 4 09:37:47 2024 BST.