Computational Intelligence - download pdf or read online

By Diego Andina, Duc Truong Pham

ISBN-10: 0387374507

ISBN-13: 9780387374505

Computational Intelligence is tolerant of obscure info, partial fact and uncertainty. This ebook provides a particular number of contributions on a targeted remedy of significant parts of CI, concentrated on its key aspect: studying. This ebook offers novel functions and genuine global functions operating in production and Engineering, and it units a foundation for knowing Domotic and construction tools of the XXI Century.

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Eventually, it helps the GA to avoid premature convergence and find the global optimal solution. An example is given in Figure 9. 4 Inversion This operator is employed for a group of problems, such as the cell placement problem, layout problem and travelling salesman problem. It also operates on one individual at a time. Two points are randomly selected from an individual and the part of the string between those two points is reversed (see Figure 10). 4 Control Parameters Important control parameters of a simple GA include the population size (number of individuals in the population), crossover rate, mutation rate and inversion rate.

Teti R and Caprino G, (1994), “Prediction of composite laminate residual strength based on a neural network approach”, AI Eng 9 (ibid), 81–88. Tharumarajah A, Wells A J and Nemes L, (1996), “Comparison of the bionic, fractal and holonic manufacturing system concepts”, Int. J. Computer Integrated Manfacturing, 9 (3), 217–226. Vanegas L V and Labib A W, (2001), “A fuzzy quality function deployment (FQFD) model for deriving optimum targets”, Int. J. Production Research, 39 (1), 99–120. Venkatachalam A R, (1994), “Automating manufacturability evaluation in CAD systems through expert systems approaches”, Expert Systems with Applications, 7 (4), 495–506.

Thus, a simplified fuzzy model of the sensor consists of rules such as “IF T-Tref is small THEN - ref is small” where Tref is the value of T when the object is at position xG yG and orientation ref . ref could be chosen as 80 , the point at which the fuzzy model is to replace the mathematical model. Tref could be either measured experimentally or computed from the mathematical model. To counteract the effects of the poor repeatability of period measurements which are particularly noticeable in the “ill-conditioning” region, the fuzzy rules are modified so that they take into account the variance in T.

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Computational Intelligence by Diego Andina, Duc Truong Pham


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