DocumentCode :
120751
Title :
Evolvable hardware using cluster growth along with evolution strategy
Author :
SRIVASTAVA, ANURAG K. ; Sharma, Ekanki
Author_Institution :
Dept. of Electron. & Commun., JIIT, Noida, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
802
Lastpage :
806
Abstract :
In this paper, we are discussing about cluster growth along with evolution strategy for evolvable hardware. In today´s world, need of optimization of circuits based on certain constraints is increasing as th e number gates on an IC (Integrated Circuits) is increasing. Some of these constraints are feasibility of circuit, cost, delay, power, area of the chip etc. So for this purpose we need to find such efficient optimization techniques that can be implemented using software programming to obtain the hardware circuit.
Keywords :
electronic engineering computing; evolutionary computation; integrated circuits; programming; IC; chip area; chip cost; chip delay; chip power; circuit feasibility; cluster growth; evolution strategy; evolvable hardware; hardware circuit; integrated circuits; software programming; Biological cells; Clustering algorithms; Hardware; Logic gates; Optimization; Sociology; Statistics; Cluster Growth; Evolution Strategy; Evolvable Hardware; Genetic Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779426
Filename :
6779426
Link To Document :
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