Co-AGSA: An efficient self-adaptive approach for constrained optimization of analog IC based on the shrinking circles technique-Reference-Cited by-同舟云学术

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Co-AGSA: An efficient self-adaptive approach for constrained optimization of analog IC based on the shrinking circles technique

Published:2017-09 Issue: Volume:59 Page:218-232
ISSN:0167-9260
Container-title:Integration
language:en
Short-container-title:Integration

Author:

Dehbashian Maryam,Maymandi-Nejad Mohammad

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference42 articles.

1. Previous Works on Automatic Analog IC Sizing;Lourenço,2017

2. Cadence. 2015 Online. 〈http://www.cadence.com〉.

3. Synopsys. 2015 Online. 〈http://www.synopsys.com〉.

4. Mentor Graphics. 2015 Online. 〈http://www.mentor.com〉.

5. MunEDA. 2015. Online. 〈http://www.muneda.com〉.

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1. Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm;Computation;2023-11-16

2. Optimizing the Efficiency of Winner-Takes-All Neuromorphic Circuit Optimization Using Self-Adaptive Multi-Population Quadratic Approximation Guided Jaya Algorithm;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

3. An improved multi-objective learning automata and its application in VLSI circuit design;Memetic Computing;2020-05-18

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