loading...
Evolving Combinational Logic Circuits Using a Hybrid Quantum Evolution and Particle Swarm Inspired Algorithm
Washington DC, June 29-July 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2005.282005 NASA/DoD Conference on Evolvable ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Phillip Moore, University of Missouri-Rolla
Ganesh K Venayagamoorthy, University of Missouri-Rolla
In this paper, an algorithm inspired from quantum evolution and particle swarm to evolve combinational logic circuits is presented. This algorithm uses the framework of the local version of particle swarm optimization with quantum evolutionary algorithms, and integer encoding. A multi-objective fitness function is used to evolve the combinational logic circuits in order obtain feasible circuits with minimal number of gates in the design. A comparative study indicates the superior performance of the hybrid quantum evolution-particle swarm inspired algorithm over the particle swarm and other evolutionary algorithms (such as genetic algorithms) independently.
Citation:
Phillip Moore, Ganesh K Venayagamoorthy, "Evolving Combinational Logic Circuits Using a Hybrid Quantum Evolution and Particle Swarm Inspired Algorithm," eh, pp.97-102, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.