DocumentCode :
2299982
Title :
A combinatorial digital circuit with evolutionary algorithm for evolvable hardware software codesign
Author :
Srivastava, Atul Kumar ; Srivastava, M.C.
Author_Institution :
Dept. of ECE, JIIT Noida, Noida, India
fYear :
2010
fDate :
Nov. 29 2010-Dec. 1 2010
Firstpage :
1
Lastpage :
5
Abstract :
The theory of evolution is equally well applied on the electronic digital circuit configuration. The genetic algorithm (GA) is an optimization and search technique based on the principles of genetics and natural selection. Genetic algorithm one of the classifications of evolutionary algorithm, is an upcoming area for the designing of reprogrammable hardware. The fitness function decides whether to accept new chromosome for the next generation or not. These functions incorporate various factors that evolve a constrained and much optimized hardware. Our aim in this paper is to present a simple method to synthesize a combinatorial digital circuit with some fitness functions required for any VLSI circuit and reduce the gate complexity of the circuit.
Keywords :
VLSI; circuit optimisation; combinational circuits; digital circuits; genetic algorithms; hardware-software codesign; VLSI circuit; combinatorial digital circuit; evolvable hardware software codesign; fitness functions; gate complexity; genetic algorithm; Biological cells; Evolutionary computation; Field programmable gate arrays; Hardware; Logic gates; Optimization; Software; Cell Crossover; Evolutionary Algorithms; Evolvable Hardware; Field Programmable; Gate Arrays Genetic Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2010 International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4244-8543-7
Type :
conf
DOI :
10.1109/ICPCES.2010.5698690
Filename :
5698690
Link To Document :
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