In this paper, the gain in LD-CELP speech coding algorithm is predicted using three neural models, that are equipped by genetic and particle swarm optimization (PSO) algorithms to optimize the structure and parameters of neural networks. Elman, multi-layer perceptron (MLP) and fuzzy ARTMAP are the candidate neural models. The optimized number of nodes in the first and second hidden layers of El...

İşlemcinin verimliliğini arttırabilmek amacıyla bu çalışmada, Döner Çekirdek Algoritması, Genetik Algoritma ile geliştirilmiştir. Kuyrukta bekleyen işlemler ve onlara ait parametrelere uygun kuantum süresi seçilerek optimum değerlerin bulunması hedeflenmiştir.

In this paper, a real-coded genetic algorithm called DMLX-NUM is proposed to solve the problem of parameter optimization in medical image registration. It derived from LX-NUM algorithm. The composition of the algorithm is simple, and the method has no special requirements for generating the initial population. By this algorithm the ratio of registration success can be at 98%. The algorithm we a...

A simple and easy to implement but very effective algorithm for solving real-value parameter optimization problems is introduced in this paper. The main idea of the perform a local search repeatedly on prospective subregion where optimal solution may be located. randomly samples number solutions given subregion. If new best-so- far has been found, center moved based best-so-far size gradually r...

The ordering of messages according to a given time measure is a largely discussed topic. Nevertheless, wireless or wired systems considering the order of messages do not use the access layer to accomplish this task. In this paper, we discuss the use of non-destructive bit-wise arbitration on the MAC layer for real-time message ordering in wireless sensor networks. With this access method, it is...

When vortex electromagnetic waves propagate through a turbulent atmosphere, the amplitude and phase of are disturbed, creating scintillation effect. According to index waves, new method retrieving refraction structure parameter was proposed using genetic algorithm, feasibility this verified by simulated experiments. The numerical results showed that inversed value obtained algorithm close real ...

Image segmentation is an old and difficult problem. One of the fundamental weaknesses of current computer vision systems to be used in practical applications is their inability to adapt the segmentation process as real-world changes occur in the image. We present the first closed loop image segmentation system which incorporates a genetic algorithm to adapt the segmentation process to changes i...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in the image and not to create artificial blocks. In this study, the required pixels are estimated ...

clustering is the process of dividing a set of input data into a number of subgroups. the members of each subgroup are similar to each other but different from members of other subgroups. the genetic algorithm has enjoyed many applications in clustering data. one of these applications is the clustering of images. the problem with the earlier methods used in clustering images was in selecting in...