Review on VLSI design using optimization and self-adaptive particle swarm optimization

Journal of King Saud University: Computer and Information Sciences

P.V. Rao¹  U.S. Ravi²  B.V. Monica³  B.M. Sachin⁴  S.B. Vinay Kumar⁵  H.A. Sharath⁶ 

[1] Corresponding author.;Bangalore Institute of Technology, Bengaluru, Karnataka 560004, India;J V Global Services LLP, Bangalore, India;Maharaja Institute of Technology (MIT), Belawadi, Srirangapatna Tq, Mandya 571438, India;School of Engineering and Technology, Jain University, Bangalore, Karnataka, Ramanagara District, 562 112, India;Vignana Bharathi Institute of Technology, Ghatkesar, Hyderabad, Telangana St., India;

关键词: VLSI design;    Optimization;    Bio-inspired algorithm;    Self-adaptive PSO;    Floor planning;   

DOI  :  

来源: DOAJ

【 摘 要 】

Today, VLSI technology has taken a fundamental role in developing most of the high-tech electronic circuits. Even though VLSI design is renowned for its smaller size, lower cost, lower power, high reliability and high functionality, the design process takes long time and produces high risk. So, to obtain the knowledge regarding the different contributions on VLSI design, about 52 papers on the design of VLSI using optimization are reviewed here. Accordingly, VLSI design optimization is analyzed through different bio-inspired algorithms and the performance measures of different VLSI experimentations are compared. Further, various improvements on Self-Adaptive Particle Swarm Optimization (SA-PSO) and VLSI design optimization, without the adoption of bio-inspired algorithms, are examined. Additionally, the floor planning problem of VLSI is considered and reviewed. Eventually, this paper provides the diverse research gaps and challenges in VLSI design, which may be helpful for the authors and the philosophers to contribute for further research.

【 授权许可】

Unknown