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Evolving Digital Circuits Using Particle Swarm (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Venayagamoorthy, Ganesh K. Gudise, Venu G. |
| Description | Proceedings of the INNS-IEEE International Conference on Neural Networks |
| Abstract | Abstract--- Particle swarm optimization (F‘SO) motivated by the A new technique called the particle swarm optimization social behavior of organisms is proposed for evolution of (PSO) that emerges and allies itself to evolutionary combinational logic circuits. Results are presented to show that based on ofthe behavior ofa flock of PSO based evolution of digital circuits are equivalent to or even birds or school offish, has proven to have great potential for with better solutions (with minimum number of logic gates) than multi-objective optimization algorithms differ that of a human designer and other genetic algorithm (GA) based techniques. This PSO based approach converges faster than from evolutionary importantly in both other approaches reported in literature using genetic algorithms and how they What is new and as a result the computational intensity involved in hardware with the Swarm algorithm is that the individuals @articles) evolution is reduced. Examples taken from the literature are used persist over time, influencing one another’s search of the to evaluate the performance of the proposed PSO approach. problem space, unlike in the genetic algorithms where the weakest chromosomes are immediately discarded. The I. |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | School Offish Approach Converges Swarm Algorithm Particle Swarm Optimization Social Behavior Digital Circuit Evolutionary Combinational Logic Circuit Ofthe Behavior Ofa Flock Problem Space Digital Circuit Using Particle Swarm Abstract Particle Swarm Optimization Logic Gate Pso Approach New Technique Human Designer Minimum Number Computational Intensity Multi-objective Optimization Algorithm |
| Content Type | Text |
| Resource Type | Proceeding |
