Towards designing artificial neural networks by evolution
Applied Mathematics and Computation - Special issue on articficial life and robotics
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
Proceedings of the European Conference on Genetic Programming
Chromosome Representation through Adjacency Matrix in Evolutionary Circuits Synthesis
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Digital filter design using multiple pareto fronts
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
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 synthesis method to generate impedance matching networks with low sensitivity is presented. The method uses a chromosome coding scheme based on the adjacency matrix to represent the impedance networks. It is shown that the performance of the evolutionary algorithm in this particular synthesis may be considerably improved by including an optimization step to tune the component values of the impedance network. The efficiency of the proposed algorithm is tested in the synthesis of an impedance network for a monopole whip antenna and the results are compared with other examples found in the literature.