Since the development of SoC is very fast, how to reduce the power consumption of SoC has become a very important issue. To overcome the issue, the hardware circuit provides multi-voltage method to reduce task power consumption. On the other hand, the software tool decides the task voltage to minimize the total power consumption. In this thesis, we developed a genetic algorithm to solve the voltage mapping problem of multi-voltage systems. This goal of this genetic algorithm is to consider the time constraints or power constraints in the multi-voltage system to find the better solution. In order to apply genetic algorithm to solve voltage mapping problem, we build a compilation flow that embeds in the genetic algorithm. To demonstrate the efficiency of proposed approach, we apply compilation flow to two examples. One is multi-voltage reconfigurable processor system. The processor in the system provides multi-mode and multi-voltage. The multi-mode can reduce the execution time of tasks with high parallelism. Multi-voltage can reduce the power consumption of task by decreasing voltage. We use genetic algorithm to choose task mode to achieve the performance goal. Another is multiple multi-voltage processors. We use list-scheduling to find the task schedule and use genetic algorithm to choose the task voltage. This method can reduce total power consumption. According to the experimental results, the proposed genetic algorithm can reduce the power consumption efficiently.

Fuzzy Cognitive Mapping is used as an effective tool to grasp complex systems. Fuzzy Cognitive Mapping, which is based on quantification of qualitative data, can be considered as a hybrid mix of quantitative and qualitative methods, and its roots can be traced back to graph theory. The basic purpose of this study is to discuss Fuzzy Cognitive Maps in methodological terms and develop suggestions for using maps drawn within two different frameworks. By this, Fuzzy Cognitive Maps applied in similar fields will be evaluated at one level. For this purpose, the thesis will utilize the data derived from maps drawn by NGO directors in Turkey. In the case study, cognitive maps are drawn around two concepts: the reputation of civil society in Turkey and its influence power. Due to their qualitative character, Fuzzy Cognitive Mapping is a research tool suitable for making comparative analysis. Divided into city and activity categories, the database of case study used in this thesis provided comparable data. Categorical differences are evaluated through drawing cognitive maps out of database.