Abstract
This chapter describes how the Gradient Model described in the previous chapter is used to enhance the circuit-level optimization tool, GENOM-POF [1]. GENOM-POF is part of the Analog Integrated circuit Design Automation environment (AIDA) [2], developed in the Integrated Circuits Group at Instituto de Telecomunicações, Lisboa, Portugal. The integration of the gradient model includes both embedding the model in the optimization kernel, and add the model’s setup options to AIDA’s graphical user interface (GUI), which allows the visualization of the results and the configuration of the parameters, such as the objectives, constraints and input variables, ranges, etc.
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References
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Rocha, F.A.E., Martins, R.M.F., Lourenço, N.C.C., Horta, N.C.G. (2014). Enhanced AIDA’s Circuit-Level Optimization Kernel. In: Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-02189-8_4
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DOI: https://doi.org/10.1007/978-3-319-02189-8_4
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