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2003
DOI: 10.1109/cjece.2003.1425097
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Analogue integrated circuit sizing with several optimization runs using heuristics for setting initial points

Abstract: Circuit sizing (e.g. determining MOSFET channel widths and lengths which result in the most appropriate and robust circuit) is an optimization process. When it is completed, there always remains a dilemma, whether a better solution exists. With different starting points one can arrive at different local minima. A heuristic process, consisting of many optimization runs started from different initial points, is proposed. It tries to find another local minimum of the cost function in every run and thus reveals so… Show more

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Cited by 12 publications
(5 citation statements)
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References 37 publications
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“…This constraint demands a reliable method to attain the transistor sizing by balancing all the desired parameters of the design. The use of metaheuristic optimization algorithms to determine the transistor sizes can be a solution to this problem (e.g., [ 239 , 240 ]). The minimization of the parameters can be accomplished by selecting one or more objective functions and considering the rest of the parameters as a constraint.…”
Section: Applications In Microelectronicsmentioning
confidence: 99%
“…This constraint demands a reliable method to attain the transistor sizing by balancing all the desired parameters of the design. The use of metaheuristic optimization algorithms to determine the transistor sizes can be a solution to this problem (e.g., [ 239 , 240 ]). The minimization of the parameters can be accomplished by selecting one or more objective functions and considering the rest of the parameters as a constraint.…”
Section: Applications In Microelectronicsmentioning
confidence: 99%
“…simplex size or maximal number of function evaluations), a special mechanism is applied to initialize a new simplex in the unexplored parts of the search space. Then the COMPLEX algorithm is restarted to find a new and hopefully better local minimum [9]. The process is repeated until the maximal number of CF evaluations is reached.…”
Section: Optimization Of Integrated Circuitsmentioning
confidence: 99%
“…In [23], analog circuits with low voltage and low power were designed with the help of Hierarchical PSO (HPSO). It was seen that the HSPO converges faster in comparison to the conventional PSO and GA. Another heuristic optimization approach was presented in [24], [25] to design and optimize amplifier circuits.…”
Section: Introductionmentioning
confidence: 99%