By Guangyou Yang, Xiaofei Liu (auth.), David Jin, Sally Lin (eds.)

ISBN-10: 3642286577

ISBN-13: 9783642286575

ISBN-10: 3642286585

ISBN-13: 9783642286582

ECWAC2012 is an built-in convention dedicated to digital trade, net program and verbal exchange. within the this lawsuits you will find the rigorously reviewed clinical end result of the second one overseas convention on digital trade, internet program and conversation (ECWAC 2012) held at March 17-18,2012 in Wuhan, China, bringing jointly researchers from all over the international within the field.

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Additional resources for Advances in Electronic Commerce, Web Application and Communication: Volume 2

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1 and let G be any bounded set. Assume the following conditions are satisfied: µ t, x , β t, x are nonnegative measurable, and 0 µ 0 β t, x µ t, x β ∞ ∞ n i (local Lipschitz condition)there exists a positive constant K y ,y |f t, x, y f t, x, y | g t, x, y g t, x, y K |y such that y | ; 40 J. 7) 3 The Main Results In this section, the objective is that under the conditions described above, we will prove the following convergence result. we set y t, x , ∆y∆ t y t ∆y∆ t, x , y∆ t : y∆ t, x . Theorem 1.

Computer Mechanism (1999) 3. : Intelligent RCM analysis. PhD’s degree thesis of Mechanical Engineering College, China (2006) 4. : A framework for the case-based and model-based RCM analysis. In: 2010 The International Conference on Management Science and Artificial Intelligence (2010) 5. : Research on case retrieval with weight optimizing and its application. Journal of Systems Engineering (2009) 6. : Research on Application of Grey- Relational Theory in CBR. R. R. China Abstract. In this article, we present a new approach which incorporates fuzzy logic with data-driven crowd simulation method.

If this random number is larger than PCi , the corresponding dimension will learning from its own pbest ; otherwise it will learning from another particle’s pbest . We employ the tournament selection procedure when the particle’s dimension learns from another particle’s pbest as follows. (1) We first randomly choose two particles out of the population which excludes the particle whose velocity is updated. (2) We compare the fitness values of these two particles’ pbest and select the better one.

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Advances in Electronic Commerce, Web Application and Communication: Volume 2 by Guangyou Yang, Xiaofei Liu (auth.), David Jin, Sally Lin (eds.)


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