In this paper, we are presenting a genetic algorithm adopted for electro-thermal optimization in nanoelectronics devices and systems. The model of nanoelectronic system is simplified. Each heat source will be approximated by a specific function. The presented optimization strategy is designated for any system containing a number N of nanoelectronic elements. Optimization for the overall structure of the system will be performed in conformity with the temperature minimization criteria in the chosen areas of the system. Regarding others non unexpected modifications of the optimization algorithm, we are using a modified complex objective function.

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