Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Automated Analog Circuit Sythesis Using a Linear Representation
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Linear-Tree GP and Its Comparison with Other GP Structures
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Linear-Graph GP - A New GP Structure
EuroGP '02 Proceedings of the 5th 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)
Adjacency Matrix Representation in Evolutionary Circuit Synthesis
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
Evolutionary Synthesis of Arithmetic Circuit Structures
Artificial Intelligence Review
Graph grammar encoding and evolution of automata networks
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
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
Graph-based evolutionary design of arithmetic circuits
IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Automated passive filter synthesis using a novel tree representation and genetic programming
IEEE Transactions on Evolutionary Computation
Analog Genetic Encoding for the Evolution of Circuits and Networks
IEEE Transactions on Evolutionary Computation
Design automation of a lossless multiport network and its application to image filtering
Expert Systems with Applications: An International Journal
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In this paper, a novel method based on graph encoding scheme and clone selection algorithm is proposed for synthesizing passive analog filters. Graph is the most natural and convenient data structure to represent analog electronic circuit. The proposed graph-based encoding scheme can represent any topologies of passive analog circuit and their component values. Combined with the efficient analog circuit encoding scheme, clone selection algorithm is employed as a search engine for automatic design of passive analog filters. The proposed method can synthesize both topology and sizing (component parameters) of circuit simultaneously. Three filter design tasks are experimented to evaluate the proposed method. The experimental results demonstrate that passive analog filters can be generated effectively with modest computation time. Taking more practical conditions into account, the proposed method can be applied into automatic design of passive analog filters for engineering application without the guidance of experienced engineers.