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

This e-book constitutes the completely refereed post-conference court cases of the seventh overseas convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers provided have been conscientiously reviewed and chosen from 832 submissions. The papers are prepared in topical sections on clever computing in scheduling; neighborhood characteristic descriptors for photograph processing and popularity; combinatorial and numerical optimization; desktop studying concept and strategies; clever regulate and automation; wisdom representation/reasoning and specialist structures; clever computing in trend popularity; clever computing in snapshot processing; clever computing in laptop imaginative and prescient; biometrics with purposes to person security/forensic sciences; modeling, idea, and purposes of optimistic platforms; sparse manifold studying tools and functions; advances in clever details processing.

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Extra 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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Acta Automatica Sinica 33, 113–124 (2007) 9. : Pareto-optimality Approach for Flexible Job-shop Scheduling Problems: Hybridization of Evolutionary Algorithms and Fuzzy Logic. Mathematics and Computers in Simulation 60(3-5), 245–276 (2002) 10. : Routing and Scheduling in A Flexible Job Shop by Tabu Search. R. cn Abstract. The Inver-over operator holds a good result for small size Traveling Salesman Problem (TSP) while has worse capability for the large scale TSP. In this study, a Modified Inver-over operator is proposed to solve the TSP.

In addition, the average relative percentage increase (ARPI) and standard deviation (SD)over the 10 replications is also calculated as statistics for the solution quality. To show the effectiveness of the DHS and DHS-local algorithms, we compare with ACO and DPSO algorithms, the comparisons results are given in Table 1. At the same time, we make a T-test for DHS and ACO,DPSO algorithms. Table 1.

8]for solving optimization problems. During the past years, the HS algorithm has been successfully applied to various optimization problems [9-18]. This paper proposed a discrete harmony search (DHS) algorithm, it directly use the discrete job permutation to represent solutions without any conversion. The comparison results demonstrated the effectiveness of the presented DHS algorithm. The rest of the paper is organized as follows: section 2 introduces the lot-streaming flow shop scheduling problem.

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