Optimization Electrical Circuit's Parameter Using Genetic Algorithms (GAs)

Pang , Lu Shin (2009) Optimization Electrical Circuit's Parameter Using Genetic Algorithms (GAs). Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Genetic algorithms (GAs) for automation design of analog circuits are proposed in this project. It is used to solve complex and considerable constrained combinatorial optimization problems that one generally encounters in designing electrical circuits. For the large-scale circuits, the key problems of circuit design are its large amount of calculating operations and the chance of falling into local optimal point. During the optimization, it is often needed to adjust several circuit elements simultaneously. Those parameters will have the significant effect to the circuit performance. The search space is therefore very large, and genetic algorithms have been used with success to optimize such circuit parameters. In this project, the artificial intelligence GAs is proposed to order to generate evolutionary analog circuit designs. The results show that the appropriate combination of circuit components e.g. inductor and resistor are selected by the proposed GAs is able to meet the desired design specification of the circuit. Finally, the simulation result is compared and validated with the manual hand calculation result.

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