Intelligent Computing Theories and Methodologies: 11th by De-Shuang Huang, Kang-Hyun Jo, Abir Hussain

By De-Shuang Huang, Kang-Hyun Jo, Abir Hussain

This two-volume set LNCS 9225 and LNCS 9226 constitutes - together with the quantity LNAI 9227 - the refereed court cases of the eleventh overseas convention on clever Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 complete papers and forty two brief papers of this quantity have been conscientiously reviewed and chosen from 191 submissions. The papers are equipped in topical sections comparable to evolutionary computation and studying; compressed sensing, sparse coding and social computing; neural networks, nature encouraged computing and optimization; trend attractiveness and sign processing; photograph processing; biomedical informatics conception and strategies; differential evolution, particle swarm optimization and area of interest expertise; clever computing and information discovery and knowledge mining; gentle computing and computer studying; computational biology, protein constitution and serve as prediction; genetic algorithms; man made bee colony algorithms; swarm intelligence and optimization; social computing; info protection; digital truth and human-computer interplay; healthcare informatics thought and techniques; unsupervised studying; collective intelligence; clever computing in robotics; clever computing in communique networks; clever keep an eye on and automation; clever info research and prediction; gene expression array research; gene legislation modeling and research; protein-protein interplay prediction; biology encouraged computing and optimization; research and visualization of enormous organic information units; motif detection; biomarker discovery; modeling; simulation; and optimization of organic platforms; biomedical info modeling and mining; clever computing in biomedical signal/image research; clever computing in mind imaging; neuroinformatics; cheminformatics; clever computing in computational biology; computational genomics; designated consultation on biomedical facts integration and mining within the period of huge facts; designated consultation on enormous info analytics; distinct consultation on synthetic intelligence for ambient assisted residing; and exact consultation on swarm intelligence with discrete dynamics.

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For example, Eq. (5) will degrade into Eq. (3) when C = 0, therefore basic ABC can be seen as a special case of GABC; exploitation ability of GABC will strengthen when C increases, then the convergence speed will accelerate but the exploring ability will An Improved Artificial Bee Colony Algorithm 27 decline, so the algorithm is easy to fall local minimal point. 5 is a relatively good choice for most test functions. Inspired by differential evolution, literature [10] adopted differential evolution equations to replace search strategy equations in basic ABC and proposed ABC/best algorithm, its update equations are shown in Eqs.

Efficiency enhancement of estimation of distribution algorithms. , CantúPaz, E. ) Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence, vol. 33, pp. 161–185. Springer, Heidelberg (2006) 15. : Competing heuristics in evolutionary algorithms. In: Intelligent Technologies-Theory and Applications, pp. 159–165 (2002) 16. : How to analyse evolutionary algorithms. Theoret. Comput. Sci. 287(1), 101–130 (2002). cn Abstract. As modern software systems have been expanded continuously, the problem of how to optimally allocate the limited testing resource during the software testing phase attracted lots of attention.

Generally speaking, there are two kinds of measurements for the problems difficulty: prior estimation and post calculation. One can see that the above definition is based on the post calculation. 3 Comparison Design Efficiency and effectiveness are metrics for the comparison of algorithms (and its parameters’ value) and problems. These two metrics are related with at least three elements: algorithm, value of parameters of the algorithm and the optimized problem. -S. Hao et al. Based on the comparison of these three elements, experiments can be carried out to validate the relationship between efficiency and effectiveness.

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