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Differential evolution (DE) algorithm has gained vast application in engineering design community for their global convergence property. Yet it relies on random samplings and is inefficient when dealing with equal constrained optimization, in which the ratio between the size of the feasible search space F and the size of the whole search space S is quite low. To deal with this, adaptive relaxation...
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