Abstract
In recent year, particle Swarm Optimization (PSO) which is one of the area of evolutionary computations was developed, So in order to compare its performance, another popular optimization method Genetic Algorithm (GA) was chosen. The two methods employee different strategies and computation efforts.
The article was added to IASJ on 2012-05-31
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