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控制理论与应用 2010
Improved space-adaptive-based differential evolution algorithm
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Abstract:
To improve the performance of differential evolution algorithm we present a differential evolution algorithm with space-adaptive idea, which expands or shrinks the search space by certain rules. It realizes the automatic search for the suitable space and improves the convergence rate and accuracy. For further improvement of the convergence rate, the original space-adaptive algorithm is modified by revising the existing rules and adding new rules. The simulation results show that the improved space-adaptive-based differential evolution algorithm is better than the original differential evolution algorithm in convergence rate and accuracy. This algorithm is applied to several hot strip mills for the optimal design of scheduling.