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In this paper we describe the basics of the network migration problem, as well as the solution of the problem using meta heuristics.
Abstract—In this paper we describe the basics of the network migration problem, as well as the solution of the problem using meta heuristics.
Aug 5, 2024 · Improving network migration optimization utilizing memetic algorithms. ... Network Migration Optimization Using Genetic Algorithms. EUNICE ...
Our main goal is the optimization of migration costs, by respecting increasing demands over the migration period, while device costs per bit are decreasing. We ...
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This paper will present Crowded DPGA as best found GA to solve the network migration problem, by respecting increasing demands over the migration period, ...
2013. Improving network migration optimization utilizing memetic algorithms. S Türk, H Liu, R Radeke, R Lehnert. Global Information Infrastructure Symposium ...
This paper deals with the heterogeneous fixed fleet vehicle routing problem (HFFVRP) which is a generalization of the classical vehicle routing problem ...
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"improving network migration optimization utilizing memetic algorithms" ... <http://cso.kmi.open.ac.uk/topics/optimization>. 39. <http://aida.kmi.open.ac.uk ...
Improving network migration optimization utilizing memetic algorithms. GIIS ... Network Migration Optimization Using Genetic Algorithms. EUNICE 2012: 112-123 ...
Memetic algorithms integrate local search into an evolutionary algorithm to combine the advantages of rapid exploitation and global optimisation.
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