By Chun-Ming Tsai, Zong-Mu Yeh (auth.), Ali Selamat, Ngoc Thanh Nguyen, Habibollah Haron (eds.)
The two-volume set LNAI 7802 and LNAI 7803 constitutes the refereed court cases of the fifth Asian convention on clever info and Database structures, ACIIDS 2013, held in Kuala Lumpur, Malaysia in March 2013.
The 108 revised papers awarded have been conscientiously reviewed and chosen from a variety of submissions. The papers incorporated are grouped into topical sections on: strategies in clever computation and purposes; clever database platforms; clever details structures; instruments and purposes; clever recommender structures; a number of modal method of computing device studying; engineering wisdom and semantic platforms; computational biology and bioinformatics; computational intelligence; modeling and optimization strategies in details structures, database platforms and business platforms; clever offer chains; utilized information mining for semantic internet; semantic net and ontology; integration of data structures; and conceptual modeling in complex database systems.
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Extra resources for Intelligent Information and Database Systems: 5th Asian Conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013, Proceedings, Part I
Example text
The particle is considered as weak when there are available particles remaining their fitness at a sequence number of iterations. For example, when the percentage of particles in healthy condition is less than sixty percent for four times of iteration, the following uniform mutation operations into particle trajectory is performed. 5) ∗ vi(d) (15) where p ∈ (1, 0) is a random value, xi(d) is the position and vi(d) is the velocity of d th dimension in the ith particle. The mutation on each particle dimension is implemented only when the generated random number r ∈ (1, 0) is less then mutation probability R.
0 ,1 ) 1 − mutation ij 7 iter iter max ( ) Simulation Results In this work, GABC algorithm used to train MLP for the boolean function classification task. To calculate the performance of the GABC, ABC and LM algorithms by Mean of Mean Square Error (MSE) and success rate for Boolean function classification, using Matlab 2010a software. 0001 LM while ABC and GABC stopped on MCN. During the experimentation, 30 trials performed in training. The sigmoid function used as activation function for network production.
Therefore, researchers have given a lot of interest in hybridizing PSO with mutation concept from genetic algorithm (GA). The reason for incorporating mutation into PSO is to resolve premature convergence problem due to some kind of stagnation by PSO particles. Although PSO is capable to produce fast results, particles stagnation has led the algorithm to suffer from low-optimization precision. Thus, this paper introduces time-varying mutation techniques for resolving the PSO problem. The different time-varying techniques have been tested on some benchmark functions.