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This routing scheme, with its corresponding k<\/jats:italic>\u2010partition of the uncertainty set, is dynamically defined under an iterative method to sequentially improve the solution. The method has an inherent characteristic of multiplying the number of variables and constraints after each iteration, so that additional measures are introduced in the solution strategy in order to control time performance. We compare our k<\/jats:italic>\u2010adaptive results with the ones obtained through other routing schemes and also verify the effectiveness of the methods utilized using several realistic networks from SNDlib and other sources.<\/jats:p>","DOI":"10.1002\/net.21807","type":"journal-article","created":{"date-parts":[[2018,2,6]],"date-time":"2018-02-06T15:42:41Z","timestamp":1517931761000},"page":"151-170","source":"Crossref","is-referenced-by-count":7,"title":["Solving the bifurcated and nonbifurcated robust network loading problem with k<\/i>\u2010adaptive routing"],"prefix":"10.1002","volume":"72","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-9757-323X","authenticated-orcid":false,"given":"Marco","family":"Silva","sequence":"first","affiliation":[{"name":"LIA, Universit\u00e9 d'Avignon et des Pays des Vaucluse Avignon France"},{"name":"PESC, Universidade Federal do Rio de Janeiro Rio de Janeiro 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