SEAS: a simulated evolution approach for analog circuit synthesis

Classification of analog synthesis tools based on their architecture selection mechanisms

“…Examples are CAMP [81], BLADES [82], OASYS [6] and ISAID [83] for op amps. During sizing, other optimization approaches can be adopted to find values for the parameters of a specific architecture selected by the expert system (e.g., SEAS [84]). By defining appropriate operators, also evolutionary algorithms can be combined with flexible hierarchical templates (e.g., MOJITO [85]).…”

Computer-aided design of analog and mixed-signal integrated circuits

“…There are also a number of optimization-based approaches that integrate topology selection with circuit sizing as part of one overall optimization loop. This was done using a mixed integer-nonlinear programming formulation with Boolean variables representing topological choices [66], or by using a nested simulated evolution/annealing loop where the evolution algorithm looks for the best topology and the annealing algorithm for the corresponding optimum device sizes [67]. Another approach that uses a genetic algorithm to find the best topology choice was presented in DARWIN [68].…”

Optimal Design of a CMOS OpAmp via Geometric Programming

“…Examples include genetic algorithms or evolution systems like SEAS [73], DARWIN [57,99]; systems based on fuzzy logic like FASY [91] and [45]; special heuristics based systems like IDAC [28,29], OASYS [43], BLADES [21], and KANSYS [42].…”