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- W2357916251 abstract "In this paper,an improved differential evolution(IDE) algorithm is proposed.In order to accelerate the convergence of the algorithm,a difference of the population center with respect to individuals is added to the mutation operator of DE/current-to-p-best/1.To avoid the trap of a local optimum and get balance between the convergence and the global search ability,a simplified simulated annealing(SA) selection strategy is adopted.Though there is no adaptive strategy in IDE,better performances than J.Zhang's self-adaptive differential evolution(JADE) are obtained in the test by benchmark functions.The high robustness of IDE is verified both in the test of mathematical functions and application in array pattern synthesis." @default.
- W2357916251 created "2016-06-24" @default.
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- W2357916251 date "2009-01-01" @default.
- W2357916251 modified "2023-09-26" @default.
- W2357916251 title "Improved differential evolution for antenna optimization" @default.
- W2357916251 hasPublicationYear "2009" @default.
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