The unconstrained evolution has already been applied in the past towards the design of digital circuits, and extraordinary results have been obtained, including generation of circuits with smaller number of electronic components. In this paper unconstrained evolution, blended with oscillating length genotype sweeping strategy, is applied towards the design of "QR" analogue circuit on the example of circuit that performs the cube root function. The promising results are obtained. The new algorithm has produced the excellent result in terms of quality of the circuit evolved and evolutionary resources required. It differs from previous ones by its simplicity and represents one of the first attempts to apply Evolutionary Strategy towards the analogue circuit design. The obtained result is compared with previous designs. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sapargaliyev, Y., & Kalganova, T. G. (2008). Unconstrained evolution of analogue computational “qR” circuit with oscillating length representation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5216 LNCS, pp. 1–10). Springer Verlag. https://doi.org/10.1007/978-3-540-85857-7_1
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