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- W2382056540 abstract "To solve the problem that the basic artificial bee colony algorithm converges slowly and prematurely,an artificial bee colony based on the improved income distribution was proposed.The bee with better position was easier to be selected to update when the difference of income degrees increased by adopting the method of piecewise function to calculate the income.At the same time,based on the particle swarm thought,the global optimal individual was added in observing bees update formula to increase the algorithm's convergence speed.The simulation results of the problem in eight test functions show that,seven function test results are superior to other algorithms on the 30 dand the T-test show that the results on the five functions are significantly improved.Also seven function test results are superior to other algorithms on the 60 d,what's more,when the function dimension increase to 100 d,the algorithm still has strong robustness and the ability to deal with high-dimensional complex functions." @default.
- W2382056540 created "2016-06-24" @default.
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- W2382056540 date "2015-01-01" @default.
- W2382056540 modified "2023-09-26" @default.
- W2382056540 title "Artificial colony algorithm based on improved income distribution" @default.
- W2382056540 hasPublicationYear "2015" @default.
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