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- W4387452711 abstract "Swarm intelligence algorithms have a large number of applications in solving robot path planning problems. The traditional artificial bee colony (ABC) algorithm has strong global ability, large randomness, however there are problems such as the more nodes, the higher the path complexity. In this study, node movement artificial bee colony algorithm (NMABC) is proposed overcome the disadvantages of the traditional ABC in solving robot path planning problems. The NMABC algorithm contains two novel mechanisms which are the improved initial path generation way and the neighborhood search method of the iterative path of the employed bee. The experimental results show that the NMABC has good global search capability and fast iterative convergence, and it can find the optimal path quickly." @default.
- W4387452711 created "2023-10-10" @default.
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- W4387452711 date "2023-10-09" @default.
- W4387452711 modified "2023-10-11" @default.
- W4387452711 title "Improved artificial bee colony algorithm to solve mobile robot path planning" @default.
- W4387452711 doi "https://doi.org/10.1117/12.3004690" @default.
- W4387452711 hasPublicationYear "2023" @default.
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