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To overcome this problem, an improved FCM with spatial constraints algorithm for image segmentation is presented in this paper, which is formulated by modifying the objective function and the membership function of the standard fuzzy c-means algorithm to enhance the noise immunity.
Outlier removal can also be integrated in the clustering directly by modifying the objective function [3].
Policies that best meet multiple objectives simultaneously are obtained by modifying the objective function of models (14) and (16), or/and by adding constraints.
These bounds can be useful in the optimization problem to demonstrate that a particular solution generated can solve the partitioning optimization problem by modifying the objective function of each path.
A hybrid colour quantisation algorithm, combining simulated annealing with a c-means clustering algorithm, was shown to lead to improved performance, while by modifying the objective function, optimisation-based colour quantisation algorithms can be tuned with respect to a particular image quality metric.
Blood samples obtained at a single time point were incorporated into the process of fitting m tot to PET tot by modifying the objective function to O = ∑ i N w i m tot t i − PET tot t i 2 + α. w ̄ b t k − C a t k 2 (5).
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In order to account for the mass discrepancy in different tissues, the units were changed to mmol/h/body by modifying the biomass objective functions to represent the entire maintenance of each tissue (see Methods).
The method has a good computational performance by modifying the membership instead of modifying the objective function.
Finally, as a result of a sensitivity analysis, it has been possible to state some useful criteria for the trapezoidal steel roofing sheets design by modifying the weights of the proposed optimization objectives.
The optimizer has been improved from its original Multi-Objective Grey Wolf Optimizer (MGWO) by modifying the reproduction operator and adding the 2-archive concept to the algorithm.
In this study, a preference-based multi-objective model was designed by modifying the commonly-used Non-dominated Sorting Genetic Algorithm (NSGA-II).
More suggestions(17)
by changing the objective
by modifying the 'kernel
by modifying the classical
by modifying the visual
by modifying the relevant
by modifying the basic
by modifying the iterative
by reprocessing the objective
by applying the objective
by defocusing the objective
by differentiating the objective
by modifying the original
by considering the objective
by modifying the initial
by modifying the 3-sulfate-substituted
by negating the objective
by ignoring the objective
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