Computer Science – Neural and Evolutionary Computing
Scientific paper
2011-10-05
Computer Science
Neural and Evolutionary Computing
Scientific paper
Evolvable hardware (EHW) is a set of techniques that are based on the idea of combining reconfiguration hardware systems with evolutionary algorithms. In other word, EHW has two sections; the reconfigurable hardware and evolutionary algorithm where the configurations are under the control of an evolutionary algorithm. This paper, suggests a method to design and optimize the synchronous sequential circuits. Genetic algorithm (GA) was applied as evolutionary algorithm. In this approach, for building input combinational logic circuit of each DFF, and also output combinational logic circuit, the cell arrays have been used. The obtained results show that our method can reduce the average number of generations by limitation the search space.
Bagheri Mahdi
Mirzakuchaki Sattar
Sabbaghi-Nadooshan Reza
Soleimani Parisa
No associations
LandOfFree
Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-325839