Circuit parameter optimization method based on differential optimization algorithm

Abstract

The invention relates to the field of design automation, in particular to a circuit parameter optimization method based on a differential optimization algorithm, which is applied to reference voltagesource design and comprises the following steps: S1, describing device parameters in a circuit structure by using a parameter vector, and selecting a plurality of device parameters as parameter vectors; S2, judging whether the parameter vector meets an optimization termination condition or not, and if so, ending optimization; if not, executing the step S3; S3, obtaining variation vectors in one-to-one correspondence with the parameter vectors by using a variation algorithm according to the parameter vectors; S4, performing cross processing on the parameter vectors and the corresponding variation vectors by using a cross algorithm to obtain cross vectors; and S5, calculating performance indexes corresponding to the parameter vector, the variation vector and the cross vector respectively, selecting a vector which enables the performance indexes to be optimal as a new parameter vector by using a selection algorithm, and executing the step S2. According to the optimization method disclosedby the invention, parameter optimization can be quickly executed on the reference voltage source circuit.

Description

technical field [0001] The invention relates to the field of electronic design automation, in particular to a circuit parameter optimization method based on a differential optimization algorithm. Background technique [0002] In the design process of integrated circuits, especially analog integrated circuits, when the circuit structure and process have been determined according to the design requirements and the constraints of the process documents provided by the foundry, most of the optimization work of circuit parameters (such as the determination of device parameters) It is done manually. When designing a new circuit structure, it takes a lot of time to optimize the circuit parameters, which often lengthens the circuit design cycle and requires a lot of tedious work. [0003] However, circuit design is a multi-objective optimization problem, especially the design of analog circuits needs to be compromised in eight aspects such as noise, linearity, gain, power supply vol...

AI Technical Summary

Problems solved by technology

When designing a new circuit structure, it takes a lot of time to optimize the circuit parameters, which often lengthens the circuit design cycle and requires a lot of tedious work.

[0003] However, circuit design is a multi-objective optimization problem, especially the design of analog circuits needs to be compromised in eight aspects: noise, linearity, gain, power supply voltage, output swing, speed, input / output impedance, power consumption, etc.

Using traditional machine learning algorithms, it is necessary to select a set of appropriate parameters in up to 8 dimensions, and the amount of calculation and time consumed are difficult to estimate

Using manual calculation of electrical parameters requires a lot of time and calculation process

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