ATPG for fault diagnosis on analog electrical networks using evolutionary techniques
SBCCI '04 Proceedings of the 17th symposium on Integrated circuits and system design
Fault-Trajectory Approach for Fault Diagnosis on Analog Circuits
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Digital Filters Using Adjacency Matrix Representation
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Automated synthesis of passive analog filters using graph representation
Expert Systems with Applications: An International Journal
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Automatic synthesis of lossless matching networks
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Multi-objective memetic algorithm applied to the automated synthesis of analog circuits
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
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The use of adjacency matrices to the chromosome coding in evolutionary circuits techniques is proposed. The approach is shown to overcome some of the drawbacks associated with other coding schemes simplifying the implementation of the evolution process. It is particularly shown that the proposed coding scheme reduces considerably the generation of anomalouscircuits increasing the efficiency of the overall process. Other important issues such as fault tolerance, sensitivity and robustness of the synthesized circuits are addressed