By Hongkai Wei, Junzhong Ji, Yufang Qin, Yamin Wang, Chunnian Liu (auth.), Hepu Deng, Duoqian Miao, Jingsheng Lei, Fu Lee Wang (eds.)
This three-volume court cases comprises revised chosen papers from the second one foreign convention on synthetic Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011.
The overall of 265 high quality papers awarded have been rigorously reviewed and chosen from 1073 submissions. the subjects of half II coated are: heuristic looking equipment; immune computation; details protection; info thought; clever keep watch over; clever snapshot processing; clever details fusion; clever info retrieval; clever sign processing; wisdom illustration; and computing device learning.
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Additional info for Artificial Intelligence and Computational Intelligence: Third International Conference, AICI 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part II
Meng and L. Wang communicate with each other via pheromones. An ant’s tendency to choose a specific path is positively correlated to the intensity of a found trail. , it loses intensity if no more pheromone is laid down by other ants. If many ants choose a certain path and lay down pheromones, the intensity of the trails increases and thus this trail attracts more and more ants. As for TSP, ACS works as follows: m ants are initially positioned on n cities randomly. Each ant builds a complete tour by choosing the cities according to a probabilistic state transition rule.
Vector map visualization sub-module: we call the classes of DWGDirect. View class as the display object of vector graphics. The operation of vector map sub-module mainly achieve the DWG vector map' functions of zoomin, zoomout, shifting, roaming, reset. Vector map of roaming refers to move the vector map display object view to the position which a indoor positioning point presents as a mid-point of screen. We realize the zoomin of vector Map through ZoomIn function which encapsulates by DWGclass of IPOAF.
In section 5, we make a conclusion for this paper. 2 The Ant Colony System for TSP The Ant Colony System has been inspired by the behavior of real ant colonies, in particular, by their foraging behavior. Ants deposit pheromone on the ground and H. Deng et al. ): AICI 2011, Part II, LNAI 7003, pp. 19–25, 2011. © Springer-Verlag Berlin Heidelberg 2011 20 L. Meng and L. Wang communicate with each other via pheromones. An ant’s tendency to choose a specific path is positively correlated to the intensity of a found trail.