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SABILOC: um sistema de apoio à decisão para análise de problemas de localização...

Fernandes,Sérgio; Captivo,M. Eugénia; Clímaco,João

Data: 2007   |   Origem: OASIS br

Internet packet routing: Application of a K-quickest path algorithm

Clímaco, João C. N.; Pascoal, Marta M. B.; Craveirinha, José M. F.; Captivo, M. Eugénia V.

This paper describes a study on the application of an algorithm to rank the K-quickest paths to the routing of data packets in Internet networks. For this purpose an experimental framework was developed by considering two types of random generated networks. To simulate values of the IP packet sizes, a truncated Pareto distribution was defined, having in mind to reflect a key feature of Internet traffic, namely ...


Efficient primal-dual heuristic for a dynamic location problem

Dias, Joana; Captivo, M. Eugénia; Clí­maco, João

In this paper the dynamic location problem with opening, closure and reopening of facilities is formulated and an efficient primal-dual heuristic that computes both upper and lower limits to its optimal solution is described. The problem here studied considers the possibility of reconfiguring any location more than once over the planning horizon. This problem is NP-hard (the simple plant location problem is a s...


An algorithm for ranking quickest simple paths

Pascoal, Marta M. B.; Captivo, M. Eugénia V.; Clímaco, João C. N.

In this paper, an algorithm for ranking loopless paths in undirected networks, according to the transmission time, is presented. It is shown that the worst-case computational time complexity of the algorithm presented is , which is also the best-known complexity to solve this problem. The worst-case memory complexity is , which improves the existing algorithms. Finally, comparative computational results, with o...


A note on a new variant of Murty’s ranking assignments algorithm

Pascoal, Marta; Captivo, M. Eugénia; Clímaco, João

In this paper a variant of Murty’s algorithm for ranking assignments according to cost is presented. It is shown that the worst-case computational complexity is better in this variant than in the original form of the algorithm. Computational results comparing three methods for ranking assignments are reported. They show that the behaviour of the new variant is also better in practice. ; http://dx.doi.org/10....


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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia