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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Aloise, D., Damasceno, N. C., Mladenović, N., & Pinheiro, D. N. (2017). On strategies to fix degenerate k-means solutions. Journal of Classification, 34(2), 165-190. External link
Aloise, D., Damasceno, N. C., Mladenović, N., & Nobre Pinheiro, D. (2016). On strategies to fix degenerate k-means solutions. (Technical Report n° G-2016-81). External link
Audet, C., Brimberg, J., Hansen, P., Le Digabel, S., & Mladenović, N. (2004). Pooling Problem: Alternate Formulations and Solution Methods. Management Science, 50(6), 761-776. External link
Audet, C., Brimberg, J., Hansen, P., Le Digabel, S., & Mladenović, N. (2002). Pooling Problem: Alternate Formulations and Solution Methods. (Technical Report n° G-2000-23). External link
Costa, L. R., Aloise, D., & Mladenović, N. (2016). Less is more approach for balanced minimum sum-of-squares clustering. (Technical Report n° G-2016-80). External link
Crainic, T. G., Gendreau, M., Hansen, P., & Mladenović, N. (2003). Parallel Variable Neighborhood Search for the p-Median. (Technical Report n° G-2003-04). External link
Džamić, D., Aloise, D., & Mladenović, N. (2019). Ascent–descent variable neighborhood decomposition search for community detection by modularity maximization. Annals of Operations Research, 272(1-2), 273-287. External link
Džamić, D., Aloise, D., & Mladenović, N. (2016). Ascent — Descent Variable Neighborhood Decomposition search for community detection by modularity maximization. (Technical Report n° G-2016-35). External link
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
Gabriel Crainic, T., Gendreau, M., Hansen, P., & Mladenović, N. (2004). Cooperative Parallel Variable Neighborhood Search for the p-Median. Journal of Heuristics, 10(3), 293-314. External link
Hansen, P., Ngai, E., Cheung, B., & Mladenović, N. (2005). Analysis of Global K-Means, an Incremental Heuristic for Minimum Sum-of-Squares Clustering. Journal of Classification, 22(2), 287-310. External link
Merle, O. D., Hansen, P., Jaumard, B., & Mladenović, N. (2000). An interior point algorithm for minimum sum-of-squares clustering. SIAM Journal on Scientific Computing, 21(4), 1485-1505. External link
Pereira, T., Aloise, D., Brimberg, J., & Mladenović, N. (2018). Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem. In Pardalos, P. M., & Migdalas, A. (eds.), Open Problems in Optimization and Data Analysis (Vol. 141, pp. 249-270). External link
Pyatkin, A., Aloise, D., & Mladenović, N. (2017). NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognition Letters, 97, 44-45. External link
Pyatkin, A., Aloise, D., & Mladenović, N. (2016). NP-hardness of balanced minimum sum-of-squares clustering. (Technical Report n° G-2016-79). External link
Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2010). Exact and heuristic solutions of the global supply chain problem with transfer pricing. European Journal of Operational Research, 202(3), 864-879. External link
Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2008). Transfer Pricing in a Global Supply Chain. (Technical Report n° G-2008-17). External link
Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018, October). On the k-Medoids Model for Semi-supervised Clustering [Paper]. 6th International Conference on Variable Neighborhood Search (ICVNS 2018), Sithonia, Greece. External link
Randel, R., Aloise, D., Mladenović, N., & Hansen, P. (2018). On the k-medoids model for semi-supervised clustering. (Technical Report n° G-2018-23). External link
