2026-08-20T02:04:06Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1217022025-06-23T23:48:30Zcom_20.500.14352_14col_20.500.14352_15

Baloukas, Christos Poucet, Christophe Papadopoulos, Lazaros Mamagkakis, Stylianos Soudris, Dimitrios Hidalgo, J. Ignacio Catthoor, Francky Lanchares, Juan Risco Martín, José Luis Atienza Alonso, David 2025-06-23T13:56:15Z 2025-06-23T13:56:15Z 2009 10.1016/j.jss.2008.08.032 https://hdl.handle.net/20.500.14352/121702 https://doi.org/10.1016/j.jss.2008.08.032 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. eng http://creativecommons.org/licenses/by/4.0/ open access Attribution 4.0 International Optimization methodology of dynamic data structures based on genetic algorithms for multimedia embedded systems journal article