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- W2367724706 abstract "There are some disadvantages when using traditional ant colony algorithm to solve path planning problems such as slow convergence speed,easily plunging into a local optimum and so on.Thereforea,new ant colony algorithm with characteristic of sensory adaptation for path planning which simulates the ants’behavior according to the laws of sensation is presented.In this algorithmt,he ants’sensory capacity is reducing when walking on the high-intensity pheromone nodest,hus,the algorithm can not only keep the fast convergence speed but also ensure the diverse search.The results of simulations demonstrate that this algorithm has a strong search ability and a low possibility to plunge into a local optimumt,he best path can also be found in a short time even in a complex environment." @default.
- W2367724706 created "2016-06-24" @default.
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- W2367724706 date "2010-01-01" @default.
- W2367724706 modified "2023-09-23" @default.
- W2367724706 title "Algorithm for robot path planning based on ant colony with characteristic of sensory adaptation" @default.
- W2367724706 hasPublicationYear "2010" @default.
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