%0 Journal Article
%A Baloukas, Christos
%A Poucet, Christophe
%A Papadopoulos, Lazaros
%A Mamagkakis, Stylianos
%A Soudris, Dimitrios
%A Hidalgo, J. Ignacio
%A Catthoor, Francky
%A Lanchares, Juan
%A Risco Martín, José Luis
%A Atienza Alonso, David
%T Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems
%D 2009
%U https://hdl.handle.net/20.500.14352/121702
%X Modern multimedia application exhibit high resource utilization. In order to efficiently run this kind of applications in embedded systems, the dynamic memory subsystem needs to be optimized. A key role in this optimization is played by the dynamic data structures that reside in every real-life application. This paper presents a novel and automated way to optimize dynamic data structures. The search space is pruned using genetic algorithms that converge to the best multilayered data structure implementation for the targeted applications.
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