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Differential evolution (DE) has been widely applied to complex global optimization problems. Different search strategies have been designed to find the optimum conditions in a fitness landscape. However, none of these strategies works well over all possible fitness landscapes. Since the fitness landscape associated with a complex global optimization problem usually consists of various local landscapes,...
Differential evolution (DE) is one of the most powerful and versatile evolutionary algorithms for efficiently solving complex real-world optimization problems in recent years. Since its introduction in 1995, the research focus in DE has mostly been on the variant side with so many new algorithms proposed based on the original DE algorithm. However, each new algorithm is only suitable for certain fitness...
The rapid development of nanotechnology has opened up new possibilities and introduced new challenges for circuit design. It is very important to study new analysis methods for accurate circuit reliability. Few methods for evaluating circuit reliability were proposed in recent years. For example, the original probabilistic transfer matrix (PTM) model has large time and space overhead, so it can only...
To estimate the reliability and find the weak point of circuits at design phase, several high-level evaluation methods have been proposed recently. However, most of these methods can only be used for combinational circuits. In this paper, we propose a reliability evaluation method based on probabilistic transfer matrices to accurately estimate the reliability of a flip flop circuit. The proposed method...
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