SCS 2003. International Symposium on Signals, Circuits and Systems. Proceedings (Cat. No.03EX720)
DOI: 10.1109/scs.2003.1226951
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Design optimization of analog integrated circuits using simulation-based genetic algorithm

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Cited by 29 publications
(12 citation statements)
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“…In this case, it extracts the objective(s) value(s) and, in case an improvement is noticed, the corresponding values are maintained and the archive is updated accordingly. Figure 2 shows a pictorial representation of the basic idea behind such technique [3]. SODAC flowchart is given in Figure 3.…”
Section: The Simulation Based Optimization Techniquementioning
confidence: 99%
“…In this case, it extracts the objective(s) value(s) and, in case an improvement is noticed, the corresponding values are maintained and the archive is updated accordingly. Figure 2 shows a pictorial representation of the basic idea behind such technique [3]. SODAC flowchart is given in Figure 3.…”
Section: The Simulation Based Optimization Techniquementioning
confidence: 99%
“…It is obvious that in that process, a heuristic is to be used for taking care of seeking for the optimal values of the circuit' s components. A pictorial diagram of this approach is presented in Figure 1 [6]. Many optimization techniques and algorithms are offered in the literature.…”
Section: The Sizing/optimizing Approachmentioning
confidence: 99%
“…A lot of them were/are being used to optimize performances of analog circuits, such as the evolutionary algorithms, the swarm intelligence techniques etc. [5,6]. Performances of many among these techniques are highly dependent of the algorithm parameters and also on the way to handle the constraints [7].…”
Section: The Sizing/optimizing Approachmentioning
confidence: 99%
“…The second one, i.e. the simulationbased approach, is based on the use of a circuit simulator such as SPICE, which evaluates the circuit's performance(s) and constraints, as well [12][13][14]. The key of this transition is the feasibility to include SPICE like simulators within the loop of any circuit design optimization problem.…”
Section: Introductionmentioning
confidence: 99%