IEICE TRANSACTIONS on Fundamentals
Automatic Design of Operational Amplifier Utilizing both Equation-Based Method and Genetic Algorithm
Summary :
Automatic design of analog circuits using a programmed algorithm is in great demand because optimal analog circuit design in a short time is required due to the limited development time. Although an automatic design using equation-based method can design simple circuits fast and accurately, it cannot solve complex circuits. On the other hand, an automatic design using optimization algorithm such as Ant Colony Optimization, Genetic Algorithm, and so on, can design complex circuits. However, because these algorithms are based on the stochastic optimization technique and determine the circuit parameters at random, a lot of circuits which do not operate in principle are generated and simulated to find the circuit which meets specifications. In this paper, to reduce the search space and the redundant simulations, automatic design using both equation-based method and a genetic algorithm is proposed. The proposed method optimizes the bias circuit blocks using the equation-based method and signal processing blocks using Genetic Algorithm. Simulation results indicate that the evaluation value which considers the trade-off of the circuit specification is larger than the conventional method and the proposed method can design 1.4 times more circuits which satisfy the minimum requirements than the conventional method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.12 pp.2750-2757
- Publication Date
- 2017/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2750
- Type of Manuscript
- Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
- Category
Authors
Kento SUZUKI
Gunma University
Nobukazu TAKAI
Gunma University
Yoshiki SUGAWARA
Gunma University
Masato KATO
Gunma University
Keyword
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Kento SUZUKI, Nobukazu TAKAI, Yoshiki SUGAWARA, Masato KATO, "Automatic Design of Operational Amplifier Utilizing both Equation-Based Method and Genetic Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 12, pp. 2750-2757, December 2017, doi: 10.1587/transfun.E100.A.2750.
Abstract: Automatic design of analog circuits using a programmed algorithm is in great demand because optimal analog circuit design in a short time is required due to the limited development time. Although an automatic design using equation-based method can design simple circuits fast and accurately, it cannot solve complex circuits. On the other hand, an automatic design using optimization algorithm such as Ant Colony Optimization, Genetic Algorithm, and so on, can design complex circuits. However, because these algorithms are based on the stochastic optimization technique and determine the circuit parameters at random, a lot of circuits which do not operate in principle are generated and simulated to find the circuit which meets specifications. In this paper, to reduce the search space and the redundant simulations, automatic design using both equation-based method and a genetic algorithm is proposed. The proposed method optimizes the bias circuit blocks using the equation-based method and signal processing blocks using Genetic Algorithm. Simulation results indicate that the evaluation value which considers the trade-off of the circuit specification is larger than the conventional method and the proposed method can design 1.4 times more circuits which satisfy the minimum requirements than the conventional method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2750/_p
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@ARTICLE{e100-a_12_2750,
author={Kento SUZUKI, Nobukazu TAKAI, Yoshiki SUGAWARA, Masato KATO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Automatic Design of Operational Amplifier Utilizing both Equation-Based Method and Genetic Algorithm},
year={2017},
volume={E100-A},
number={12},
pages={2750-2757},
abstract={Automatic design of analog circuits using a programmed algorithm is in great demand because optimal analog circuit design in a short time is required due to the limited development time. Although an automatic design using equation-based method can design simple circuits fast and accurately, it cannot solve complex circuits. On the other hand, an automatic design using optimization algorithm such as Ant Colony Optimization, Genetic Algorithm, and so on, can design complex circuits. However, because these algorithms are based on the stochastic optimization technique and determine the circuit parameters at random, a lot of circuits which do not operate in principle are generated and simulated to find the circuit which meets specifications. In this paper, to reduce the search space and the redundant simulations, automatic design using both equation-based method and a genetic algorithm is proposed. The proposed method optimizes the bias circuit blocks using the equation-based method and signal processing blocks using Genetic Algorithm. Simulation results indicate that the evaluation value which considers the trade-off of the circuit specification is larger than the conventional method and the proposed method can design 1.4 times more circuits which satisfy the minimum requirements than the conventional method.},
keywords={},
doi={10.1587/transfun.E100.A.2750},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Automatic Design of Operational Amplifier Utilizing both Equation-Based Method and Genetic Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2750
EP - 2757
AU - Kento SUZUKI
AU - Nobukazu TAKAI
AU - Yoshiki SUGAWARA
AU - Masato KATO
PY - 2017
DO - 10.1587/transfun.E100.A.2750
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - Automatic design of analog circuits using a programmed algorithm is in great demand because optimal analog circuit design in a short time is required due to the limited development time. Although an automatic design using equation-based method can design simple circuits fast and accurately, it cannot solve complex circuits. On the other hand, an automatic design using optimization algorithm such as Ant Colony Optimization, Genetic Algorithm, and so on, can design complex circuits. However, because these algorithms are based on the stochastic optimization technique and determine the circuit parameters at random, a lot of circuits which do not operate in principle are generated and simulated to find the circuit which meets specifications. In this paper, to reduce the search space and the redundant simulations, automatic design using both equation-based method and a genetic algorithm is proposed. The proposed method optimizes the bias circuit blocks using the equation-based method and signal processing blocks using Genetic Algorithm. Simulation results indicate that the evaluation value which considers the trade-off of the circuit specification is larger than the conventional method and the proposed method can design 1.4 times more circuits which satisfy the minimum requirements than the conventional method.
ER -
English
