Computational Intelligence and Its Applications: by H K Lam, Steve S H Ling, Hung T Nguyen

By H K Lam, Steve S H Ling, Hung T Nguyen

This publication makes a speciality of computational intelligence concepts and their purposes -- fast-growing and promising examine themes that experience drawn loads of awareness from researchers through the years. It brings jointly many alternative facets of the present examine on intelligence applied sciences resembling neural networks, aid vector machines, fuzzy common sense and evolutionary computation, and covers quite a lot of purposes from trend popularity and process modeling, to clever keep watch over difficulties and biomedical purposes.

primary techniques and crucial research of assorted computational thoughts are provided to supply a scientific and powerful instrument for larger remedy of other functions, and simulation and experimental effects are incorporated to demonstrate the layout strategy and the effectiveness of the methods.

Readership: Graduates and researchers in desktop technology, in particular these specialising in man made intelligence, neural networks, fuzzy good judgment and development acceptance.

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9) The value of the dilation parameter a is set to vary with the value of t/T in order to realize a fine-tuning effect, where T is the total number of iteration and t is the current iteration number. In order to perform a local March 2, 2012 11:56 World Scientific Review Volume - 9in x 6in Restoration of Half-toned Color-quantized Images 01˙ws-rv9x6/Chp. 3 45 search when t is large, the value of a should increase as t/T increases so as to reduce the significance of the mutation. 10) where ζwm is the shape parameter of the monotonic increasing function, g is the upper limit of the parameter a.

Therefore, the performance of the PSO is significantly better than that of the GP with 98% confident level in polynomial modeling based on the benchmark functions with ∆d = 1% and 10%. Since maintaining population diversity in population-based algorithms like GP or PSO is a key in preventing premature convergence and stagnation in local optima [19, 20], it is essential to study population diversities of the two algorithms along the search. Various diversity measures, which involve calculation of distance between two individuals in both genetic March 2, 2012 11:56 World Scientific Review Volume - 9in x 6in Polynomial Modeling in a Dynamic Environment 01˙ws-rv9x6/Chp.

40 41 42 42 45 45 46 54 ∗ The work described in this chapter was substantially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU 5224/08E). 39 March 2, 2012 11:56 40 World Scientific Review Volume - 9in x 6in 01˙ws-rv9x6/Chp. F. W. H. 5 Conclusion .

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