Optimization of Multimedia Embedded Applications using Parallel Genetic Algorithms
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New multimedia embedded applications are becoming increasingly dynamic. Thus, they cannot only rely on static data allocation, and must employ Dynamically-allocated Data Types (DDTs) to store their data and efficiently use the limited physical resources of ...
1 Introduction to energy systems and evolutionary algorithms. 2 Genetic Algorithm for Constrained Optimization Models. 3 A Framework for Multi-Objective Evolutionary Algorithms. 4 Thermo-Economic Optimisation of a Solar Thermal Plant. ...
For the last 30 years, several dynamic memory managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs, software engineers of ...
Around three quarters of global resource consumption takes place in urban settlements, with corresponding adverse environmental consequences. According to population forecasts this situation will be exacerbated during the coming years. It is therefore impe ...
Networks-on-Chip (NoCs) are being increasingly considered as a central enabling technology to communication-centric designs as more and more IP blocks are integrated on the same SoC. Embedded applications, in turn, are becoming extremely sophisticated, and ...
To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is dependent on both the achievable accuracy and computation overhead of prediction algorithm ...