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Evocop Presentation

The OR-Group was represented by María Soto at the Evo* conference (The main European events on Evolutionary Computation) that took place in Torino, Italy on 27-29 April 2011. Featuring the latest in theoretical and applied research, evo* topics include recent genetic programming challenges, evolutionary and other meta-heuristic approaches for combinatorial optimization, evolutionary algorithms, machine learning and data mining techniques in the biosciences, in numerical optimization, in music and art domains, in image analysis and signal processing, in hardware optimization and in a wide range of applications to scientific, industrial, financial and other real-world problems. María Soto presented in the stream "Evocop".

The presentation was entilted:

Two Iterative Metaheuristic Approaches to Dynamic Memory Allocation for Embedded Systems
Maria Soto,  André Rossi,  Marc Sevaux
Electronic embedded systems designers aim at finding a trade-off between cost and power consumption. As cache memory management has been shown to have a significant impact on power consumption, this paper addresses dynamic memory allocation for embedded systems with a special emphasis on time performance. In this work, time is split into time intervals, into which the application to be implemented by the embedded system requires accessing to data structures. The proposed iterative metaheuristics aim at determining which data structure should be stored in cache memory at each time interval in order to minimize reallocation and conflict costs. These approaches take advantage of metaheuristics previously designed for a static memory allocation problem version.

The presentation can be downloaded here.

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