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C. Wang, Q. Wang, H. Huang, S. Song, Y. Dai and F. Deng, “Electromagnetic Optimization Design of a HTS Magnet Using the Improved Hybrid Genetic Algorithm,” Proceedings of Asian Conference on Applied Superconductivity and Cryogenics, Miyazaki, 12 December 2004, pp. 349-353.

has been cited by the following article:

• TITLE: A Hybrid GA-SQP Algorithm for Analog Circuits Sizing

  AUTHORS: Firas Yengui, Lioua Labrak, Felipe Frantz, Renaud Daviot, Nacer Abouchi, Ian O’Connor

  KEYWORDS: Genetic Algorithm; Sequential Quadratic Programming; Hybrid Optimization; Analog Circuits; Transimpedance Amplifier; Optical Driver

  JOURNAL NAME: Circuits and Systems, Vol.3 No.2, April 19, 2012

  ABSTRACT: This study presents a hybrid algorithm obtained by combining a genetic algorithm (GA) with successive quadratic sequential programming (SQP), namely GA-SQP. GA is the main optimizer, whereas SQP is used to refine the results of GA, further improving the solution quality. The problem formulation is done in the framework named RUNE (fRamework for aUtomated aNalog dEsign), which targets solving nonlinear mono-objective and multi-objective optimization problems for analog circuits design. Two circuits are presented: a transimpedance amplifier (TIA) and an optical driver (Driver), which are both part of an Optical Network-on-Chip (ONoC). Furthermore, convergence characteristics and robustness of the proposed method have been explored through comparison with results obtained with SQP algorithm. The outcome is very encouraging and suggests that the hybrid proposed method is very efficient in solving analog design problems.