COMPARISON OF ANT COLONY OPTIMISATION AND DIFFERENTIAL EVOLUTION PDF for download
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Abstract: Evolutionary Computation (EC) is a fairly new and vibrant area of investigation.
Some of the least widely known approaches within EC are Ant Colony Optimisation and
Differential Evolution, both of which can be used in optimisation problems. Ant Colony
Optimisation is based on the foraging patterns of ants, while Differential Evolution is based on an
Evolutionary Algorithm that uses a ‘greedy’ selection scheme. The problem area chosen is that of
identification of model parameters (as used in control engineering)