Titlebook: Swarm, Evolutionary, and Memetic Computing; Third International Bijaya Ketan Panigrahi,Swagatam Das,Pradipta Kumar Conference proceedings

弹药

Software Effort Prediction Using Fuzzy Clustering and Functional Link Artificial Neural Networks, real time datasets. The Chebyshev polynomial has been used as choice of expansion to exhaustively study the performance. The simulation results show that it not only deals efficiently with noisy data but also proves to be a champion in producing promising results.

强所

GEON

Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms,on four different problems used in this study. Moreover, parametric studies on the polynomial mutation operator identify a working range of values of these parameters. This study signifies that the long-suggested mutation clock operator should be considered as a valuable mutation operator for RGAs.

慌张

Kernel Group Method of Data Handling: Application to Regression Problems,al experiments are conducted on five benchmark regression datasets to assess the effectiveness of the proposed technique. The results and a statistical t-test conducted thereof indicate that the proposed KGMDH yields more accurate results than the standalone GMDH in most datasets. This is the significant outcome of the study.

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有说服力

Conference proceedings 2012apers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

olfction

Conference proceedings 2012in Bhubaneswar, India, in December 2012. The 96 revised full papers presented were carefully reviewed and selected from 310 initial submissions. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in pro

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绕着哥哥问

Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering, are carried out to test the proposed discrete harmony search algorithm. The results show the effectiveness of the proposed DHS algorithm in solving the disassembly scheduling problem in remanufacturing engineering.