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- W2356332920 abstract "Ant colony algorithm has many disadvantages,such as long searching time,easy to fall into the local optimal solution and so on.This paper bring a individual mutation strategy in ACA,which makes the parameters of individual in the ant colony cause to change,enables the strategy of ants' route selection to possess variety by coordinating the intensity of the pheromone gent and the effect of the distance gene in the probability function.The experimental results show that the improved algorithm has great effectiveness and efficiency than the Ant Colony algorithm and avoid stagnation efficiently." @default.
- W2356332920 created "2016-06-24" @default.
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- W2356332920 date "2009-01-01" @default.
- W2356332920 modified "2023-09-26" @default.
- W2356332920 title "Research of the Application of TSP Problems Based on Individual Mutation Ant Colony Optimization Algorithm" @default.
- W2356332920 hasPublicationYear "2009" @default.
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