Download Advanced Intelligent Computing Theories and Applications. by Gang Zhou, Ling Wang, Ye Xu, Shengyao Wang (auth.), PDF

By Gang Zhou, Ling Wang, Ye Xu, Shengyao Wang (auth.), De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha (eds.)

This publication constitutes the completely refereed post-conference complaints of the seventh overseas convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers awarded have been conscientiously reviewed and chosen from 832 submissions. The papers are prepared in topical sections on clever computing in scheduling; neighborhood function descriptors for picture processing and popularity; combinatorial and numerical optimization; desktop studying concept and techniques; clever keep watch over and automation; wisdom representation/reasoning and specialist structures; clever computing in trend attractiveness; clever computing in photograph processing; clever computing in machine imaginative and prescient; biometrics with functions to person security/forensic sciences; modeling, conception, and functions of confident structures; sparse manifold studying equipment and purposes; advances in clever details processing.

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Additional info for Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011, Revised Selected Papers

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Springer-Verlag Berlin Heidelberg 2012 Minimizing the Total Flow Time for Lot Streaming Flow Shop 33 the ranked-order-value(ROV) rule is used in some meta-heuristic algorithms to convert the continuous position values into a discrete job sequence. Harmony search is one of the latest meta-heuristic methods based on imitating the improvisation process of musicians, which was presented by Geem et al. [8]for solving optimization problems. During the past years, the HS algorithm has been successfully applied to various optimization problems [9-18].

The computational simulations demonstrated that the proposed operator performed well in many test problems both in the quality of solutions and the computational effort. The future work is as follows: (1) research on the effect of the parameters of the algorithm, find the relation of the different parameters; (2) add local search mechanism for the Modified Inver-over operator. Acknowledgements. This research is supported by Science Research and Development of Provincial Department of Public Education of Shandong under Grant J09LG29, J10LG25.

15, 82–92 (2003) 12. : A New Hybrid Heuristic Approach for Solving Large Traveling Salesman Problem. Inform. Sci. 166, 67–81 (2004) 13. : Particle Swarm Optimizationbased Algorithms for TSP and Generalized TSP. Inform. Process. Lett. 103, 169–176 (2007) 14. : A Memetic Neural Network for the Euclidean Traveling Salesman Problem. Neurocomputing 72, 1250–1264 (2009) 15. : TSPLIB—A Traveling Salesman Problem Library. ORSA J. Comput. cn Abstract. In this paper, a novel hybrid multi-objective particle swarm algorithm Mopsocd_BL is proposed to solve the flow shop scheduling problem with two objectives of minimizing makespan and the total idle time of machines.

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