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Differential Evolution: A tool for global optimization.
Differential Evolution is based on Genetic Algorithms.
The proposed chaotic differential evolution schemes are compared with classical differential evolution to two testing images.
Optimal operating policies are determined using differential evolution method.
Differential Evolution is utilized as the search algorithm.
The applied evolutionary optimisers are Genetic Algorithms and Differential Evolution.
A differential evolution bacteria foraging optimization algorithm is presented.
A powerful EA is the differential evolution (DE) algorithm.
Differential evolution (DE) is widely studied in the past decade.
Optimum values are obtained using Differential Evolution (DE) algorithm.
Differential evolution is more sensitive to the weighting_factor then the xprob parameter.
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