Paper Information

Journal:   JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)   SUMMER 2016 , Volume 5 , Number 2 #P0079; Page(s) 40 To 50.
 
Paper:  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
 
* DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING, UNIVERSITY OF BIRJAND, AVINI BLVD., SHAUKAT-ABAD, BIRJAND, IRAN
 
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.

 
Keyword(s): HEURISTIC ALGORITHMS, LEVEL SHIFTER, OPTIMIZATION OF POWER AND DELAY, INCLINED PLANES SYSTEM OPTIMIZATION, PARTICLE SWARM OPTIMIZATION, GENETIC ALGORITHM
 
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