By Gang Zhou, Ling Wang, Ye Xu, Shengyao Wang (auth.), De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha (eds.)
This ebook constitutes the completely refereed post-conference complaints of the seventh foreign convention on clever Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The ninety four revised complete papers awarded have been rigorously reviewed and chosen from 832 submissions. The papers are equipped in topical sections on clever computing in scheduling; neighborhood characteristic descriptors for photo processing and popularity; combinatorial and numerical optimization; computer studying idea and strategies; clever regulate and automation; wisdom representation/reasoning and specialist platforms; clever computing in trend popularity; clever computing in photo 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
With a low probability prd , the second city for inversion is selected randomly. In that case, the inversion operator resembles mutation. With a probability 1 − prd , a randomly selected mate provides a clue for the second marker for inversion. In that case the inversion operator resembles crossover, as part of the pattern (at least 2 cities) of the second individual appears in the offspring. tmpS =S; c = random city from tmpS; while(true) rnd = rand(0, 1); if(rnd< prd ) then c ′ = random city from the remaining cities in tmpS; else S ′ = a random individual from the population; c′ = the next city to the city c in individual S ′ ; endif if(the next city or the previous of city c in tmps is c′ ) then break; else inverse the selection from city c to the city c′ in tmpS (excluding c); endif c = c′ ; endwhile.
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.
Is adopted to generate initial population in this paper. , n (3) uniform distribution on the interval [0,1] in Eq. 3. 0. The corresponding particle generated by Eq. 56]. 26 W. Wang et al. 27]. Then, use SPV  to this particle and extract the serial numbers [3, 2, 5, 7, 1, 6, 4] of jobs. Finally, compute the fitness value of this discrete particle. Thus, the transformation between discrete particles and continuous particles is realized. During the process of this algorithm, the discrete particles are used to compute the particles' fitness value, while the continuous particles are used to search operation.
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 by Gang Zhou, Ling Wang, Ye Xu, Shengyao Wang (auth.), De-Shuang Huang, Yong Gan, Phalguni Gupta, M. Michael Gromiha (eds.)