Items where Author is "Aloise, Daniel"

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Aloise, D., & Contardo, C. (2018). A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. Journal of Global Optimization, 71(3), 613-630. Available

Aloise, D. (2009). Exact algorithms for minimum sum-of-squares clustering [Ph.D. thesis, École Polytechnique de Montréal]. Available

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Gonçalves-e-Silva, K., Aloise, D., Xavier-De-Souza, S., & Mladenović, N. (2018). Less is more: simplified Nelder-Mead method for large unconstrained optimization. Yugoslav Journal of Operations Research, 28(2), 153-169. Available

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Haouas, M. N., Aloise, D., & Pesant, G. (2020, September). An exact CP approach for the cardinality-constrained euclidean minimum sum-of-squares clustering problem [Paper]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. Available