Genetic Programming III: Darwinian Invention & Problem Solving
Genetic Programming III: Darwinian Invention & Problem Solving
Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms
Computer Methods for Circuit Analysis and Design
Computer Methods for Circuit Analysis and Design
Chromosome Representation through Adjacency Matrix in Evolutionary Circuits Synthesis
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems (IEEE Press Series on Computational Intelligence)
A circuit representation technique for automated circuit design
IEEE Transactions on Evolutionary Computation
Automated passive filter synthesis using a novel tree representation and genetic programming
IEEE Transactions on Evolutionary Computation
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An evolutionary method for the synthesis of impedance matching networks is proposed. The algorithm uses a coding scheme based on the graph adjacency matrix to represent the topology and component values of the circuit. In order to generate realistic solutions the sensitivities of the network parameters are accounted for during the synthesis process. To this end a closed form expression for the Transducer Power Gain sensitivity with respect to the component values of LC lossless matching networks is derived, in such a way that the effects of the components tolerance on the matching network performance can easily be quantified. The evolutionary algorithm efficiency is tested in the synthesis of an impedance matching network and the results are compared with other methods found in the literature.