Recent years, many efficient data dissemination protocols for mobile sinks in large scale sensor networks are currently under developed by researchers. In this paper we propose CO...
Hung Le Xuan, Dae Hong Seo, Sungyoung Lee, Young-K...
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
The design of future high-performance embedded systems is hampered by two problems: First, the required hardware needs more energy than is available from batteries. Second, curren...
Peter Marwedel, Lars Wehmeyer, Manish Verma, Stefa...
In order to meet the requirements concerning both performance and energy consumption in embedded systems, new memory architectures are being introduced. Beside the well-known use o...