COMPARE THE PERFORMANCE OF HEURISTIC ALGORITHMS GA, IPO AND PSO FOR OPTIMAL DESIGN OF THE LEVEL SHIFTER CIRCUIT

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOHAMMADI ALI; ZAHIRI SEYED HAMID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2016 | Volume:5 | Issue:2 Page(s): 40-50

Download Full-Text

Persian Verion

View:

1,343

Download:

Cites:

Information Journal Paper

Title

COMPARE THE PERFORMANCE OF HEURISTIC ALGORITHMS GA, IPO AND PSO FOR OPTIMAL DESIGN OF THE LEVEL SHIFTER CIRCUIT

Author(s)

MOHAMMADI ALI | ZAHIRI SEYED HAMID | Issue Writer Certificate

Keywords

HEURISTIC ALGORITHMSQ3

LEVEL SHIFTERQ2

OPTIMIZATION OF POWER AND DELAYQ2

INCLINED PLANES SYSTEM OPTIMIZATIONQ2

PARTICLE SWARM OPTIMIZATIONQ2

GENETIC ALGORITHMQ2

Abstract

The powerfulness and effectiveness of the optimization methods are motivations of the researchers to use them in complex engineering problems. In this paper, the performance of the three optimization algorithms based on swarm intelligence (IPO, PSO) and evolutionary technique (GA) for calculation the channel's widths of the transistors were evaluated compared with each other’s. The fitness functions are defined in order to the better integration and to improve the power consumption and delay of LEVEL SHIFTER circuit (LS) with changing the voltage level of 0.4 to 3 volts using 0.35-um CMOS technology. Simulation results for the sample circuit show that it reach a power consumption of 0.222pW and a delay value of 9.113ns with PSO algorithm, a power consumption of 0.39 nW and delay value of 3.741 ns with IPO algorithm, and values of 0.235 nW and 3.711 ns whit GA algorithm. In addition to a dramatic improvement in power and delay, minimum of channel's widths also were obtained. All implementations of paper were performed in MATLAB and HSPICE.

Cites

No record.

References

No record.

Cite

APA: Copy

MOHAMMADI, ALI, & ZAHIRI, SEYED HAMID. (2016). COMPARE THE PERFORMANCE OF HEURISTIC ALGORITHMS GA, IPO AND PSO FOR OPTIMAL DESIGN OF THE LEVEL SHIFTER CIRCUIT. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(2 ), 40-50. SID. https://sid.ir/paper/245847/en

Vancouver: Copy

MOHAMMADI ALI, ZAHIRI SEYED HAMID. COMPARE THE PERFORMANCE OF HEURISTIC ALGORITHMS GA, IPO AND PSO FOR OPTIMAL DESIGN OF THE LEVEL SHIFTER CIRCUIT. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2016;5(2 ):40-50. Available from: https://sid.ir/paper/245847/en

IEEE: Copy

ALI MOHAMMADI, and SEYED HAMID ZAHIRI, “COMPARE THE PERFORMANCE OF HEURISTIC ALGORITHMS GA, IPO AND PSO FOR OPTIMAL DESIGN OF THE LEVEL SHIFTER CIRCUIT,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 5, no. 2 , pp. 40–50, 2016, [Online]. Available: https://sid.ir/paper/245847/en

Related Journal Papers