Advanced Intelligent Computing Theories and Applications. by Daowen Qiu (auth.), De-Shuang Huang, Donald C. Wunsch II,

By Daowen Qiu (auth.), De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (eds.)

This ebook - along with the 2 volumes CCIS 0015 and LNAI 5226 - constitutes the refereed court cases of the 4th overseas convention on clever Computing, ICIC 2008, held in Shanghai, China, in September 2008.

The 152 revised complete papers of this quantity have been conscientiously reviewed and chosen from a complete of 2336 submissions. The papers are geared up in topical sections on organic and quantum computing, clever computing in bioinformatics, computational genomics and proteomics, clever computing in sign processing, clever computing in development popularity, clever computing in verbal exchange, clever agent and net functions, clever fault prognosis, clever keep an eye on and automation, clever info fusion and defense, clever prediction and time sequence research, ordinary language processing and professional platforms, clever image/document retrievals, network-based intelligence and automation, clever robotic structures in line with imaginative and prescient know-how, and computational intelligence for photograph analysis.

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Additional resources for Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings

Example text

Therefore, while each quantum circuit is reversible, not each reversible circuit is quantum [1,3]. N. Al-Rabadi a A=a b B=a⊕b a A=a c C=c b B=b a A = c′ a ∨ c b c C = ab⊕ c b B = c′ b ∨ c a Quant. XOR QHA QFA Quant. XOR QCM Fig. 1. , quantum trellis node) which is made of two Feynman gates, one QHA, one QFA and one quantum comparator with multiplexing (QCM). The quantum comparator can be synthesized using a quantum subtractor and a Fredkin gate. The symbol ⊕ is logic XOR (exclusive OR; modulo-2 addition), ∧ is logic AND, ∨ is logic OR, and ′ is logic NOT.

Otherwise go to Step 5. Step5: Calculate the fitness value of every individual in best populations. Otherwise, go to step6. Step6: end. 1. The parameters of improved GA used in our example are: the size of population is 8, which is equal to the size of best population. The length of DNA sequences is 20. 6. 01. 1 illustrates the results of simulation, where the x-axis is the generation of population, and y-axis is the lowest fitness value among the best populations. Before the 46 generation, the fitness is 27.

However, exact techniques are applied only to small-scale problem and the qualities of constructive heuristics are often not satisfactory. So intelligent methods have gained wide research such as genetic algorithm (GA) [2] [3], particle swarm optimization (PSO) [4] etc, and achieved better results. QEA is based on the concept and principles of quantum computing such as a quantum bit and superposition of states. -S. Huang et al. ): ICIC 2008, LNCS 5226, pp. 31 – 38, 2008. -L. Zhang et al. the population dynamics.

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