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Automated synthesis of analog electrical circuits by means of genetic programming

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5 Author(s)
J. R. Koza ; Dept. of Comput. Sci., Stanford Univ., CA, USA ; F. H. Bennett ; D. Andre ; M. A. Keane
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Analog circuit synthesis entails the creation of both the topology and the sizing (numerical values) of all of the circuit's components. This paper presents a single uniform approach using genetic programming for the automatic synthesis of both the topology and sizing of a suite of eight different prototypical analog circuits, including a low-pass filter, a crossover filter, a source identification circuit, an amplifier, a computational circuit, a time-optimal controller circuit, a temperature-sensing circuit, and a voltage reference circuit. The problem-specific information required for each of the eight problems is minimal and consists of the number of inputs and outputs of the desired circuit, the types of available components, and a fitness measure that restates the high-level statement of the circuit's desired behavior as a measurable mathematical quantity. The eight genetically evolved circuits constitute an instance of an evolutionary computation technique producing results on a task that is usually thought of as requiring human intelligence

Published in:

IEEE Transactions on Evolutionary Computation  (Volume:1 ,  Issue: 2 )