By Wen Peng, Ruofeng Tong, Guiping Qian, Jinxiang Dong (auth.), De-Shuang Huang, Kang Li, George William Irwin (eds.)
The overseas convention on clever Computing (ICIC) was once shaped to supply an annual discussion board devoted to the rising and hard issues in synthetic intelligence, computer studying, bioinformatics, and computational biology, and so forth. It goals to assemble researchers and practitioners from either academia and to proportion principles, difficulties and options on the topic of the multifaceted features of clever computing. ICIC 2006 held in Kunming, Yunnan, China, August 16-19, 2006, used to be the second one overseas convention on clever Computing, equipped upon the luck of ICIC 2005 held in Hefei, China, 2005. This yr, the convention centred almost always at the theories and methodologies in addition to the rising functions of clever computing. It meant to unify the modern clever computing strategies inside of an quintessential framework that highlights the developments in complicated computational intelligence and bridges theoretical examine with purposes. particularly, bio-inspired computing emerged as having a key position in pursuing for novel know-how in recent times. The ensuing recommendations vitalize existence technology engineering and way of life functions. In mild of this pattern, the topic for this convention used to be “Emerging clever Computing know-how and Applications”. Papers on the topic of this subject matter have been specifically solicited, together with theories, methodologies, and functions in technological know-how and technology.
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Extra resources for Computational Intelligence and Bioinformatics: International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III
Generated in the way from Ref . 0GHZ Processor and 256M DDR Memory, and the results are shown in Table 1. The experiments on the next 10 problems, where the distances between cities are measured by real numbers, are executed on another PC with an Intel Pentium III 333MHZ Processor and 256M SDR Memory, and the results are listed in Table 2. It should be noted that every instance is computed 10 times. 0 for Windows System. They would stop when no better solution could be found in 500 iterations, which is considered as a virtual convergence of the algorithms.
However, with different value of q0, the transformations of tour length are different. 10 and M_g is the min generation in which the algorithm gets the best tour of the iteration T_iter (not the global best). 2, and Table 5, the performance of applying single method in the algorithm is worse than applying both methods at the same time, and the selection of proper value of q0 is significant to the performance of ACO. 0 500 480 460 440 420 0 200 (c ) 400 600 800 1000 I te r a t io n n u m b e r Fig.
As there is some pheromone on path SXN, the probability of utilizing the path SXN by the ants that get the food is higher, three ants select SXN and one selects SYN. 1 (c)), three ants that traverse SXN arrive at the nest and one ant that selects SYN is only half way along the path. Meanwhile, the four ants who traverse the NYS just reach the food source. At that time, the path NXS has more pheromone than NYS as the NXS has been traversed for seven times, while the NYS has been traversed for five times.