Evolving Combinational Logic Circuits Using a Hybrid Quantum Evolution and Particle Swarm Inspired Algorithm
Evolvable Hardware, NASA/DoD Conference on (2005)
June 29, 2005 to July 1, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2005.28
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.
P. Moore and G. K. Venayagamoorthy, "Evolving Combinational Logic Circuits Using a Hybrid Quantum Evolution and Particle Swarm Inspired Algorithm," Evolvable Hardware, NASA/DoD Conference on(EH), Washington DC,, 2005, pp. 97-102.