Titlebook: Automatic Analog IC Sizing and Optimization Constrained with PVT Corners and Layout Effects; Nuno Lourenço,Ricardo Martins,Nuno Horta Book

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Multi-objective Optimization Kernel,ods implemented in AIDA-C are the non-dominated sorting genetic algorithm II (NSGA-II), the multi-objective simulated annealing (MOSA) and the multi-objective particle swarm optimization (MOPSO). Additionally, the algorithm implementations share a common interface; easing the intermingling of tentat

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AIDA-C Circuit Sizing Results,ary approach, non-dominated sorting genetic algorithm II (NSGA-II) are explored in the sizing of two differential amplifiers. The impact of considering nominal or worst case conditions in the evaluation of the circuits is also considered. Then, the results obtained with enhancement of the optimizati

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Layout-Aware Circuit Sizing,d to include layout’s geometric properties in the optimization with negligible impact in the execution time; and, the layout-aware approach, that accounts for the parasitic effects. In the latter, the efficiency on the estimation of the parasitic effect is increased by removing the need for detailed

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Automatic Analog IC Sizing and Optimization Constrained with PVT Corners and Layout Effects978-3-319-42037-0

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Book 2017 algorithms of all the modules are thoroughly described, enabling readers to reproduce the methodologies, improve the quality of their designs, or use them as starting point for a new tool. An extensive set of application examples is included to demonstrate the capabilities and features of the metho

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Previous Works on Automatic Analog IC Sizing, design automation community. This chapter starts with a brief introduction to analog circuit sizing automation, giving an historical perspective on the early methods proposed to tackle automatic analog circuit sizing. In Sect. ., an overview of the existing automation approaches to analog IC sizing