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• A Neural Network Approach for Global Optimization with Applications

We propose to nonlinear least square problems. The center idea is defined by the algorithm that is developed from neural network learning. By searching in the neighborhood of the target trajectory in the state space, the algorithm provides the best feasible solution to the optimization problem. The convergence analysis shows that the convergence of the algorithm to the desired solution is guaranteed. Our examples show that the method is effective and accurate. The simplicity of this new approach would provide a good alternative in addition to statistics methods for power regression models with large data.

...We show the results in Fig. 2, which the diagram in figure Oa is the plot of the given data and the...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 18 Nr. 5, September 2008

• Efficient Query Processing Over Mirror Servers Using Genetic Algorithms

In a mirror server environment, clients request services from servers. Therefore, the system must have an intelligent algorithm to select the most suitable server to fulfill a coming request. Choosing such a server for a particular client may be very difficult. Evolutionary techniques can be utilized to determine the server best suited to a particular client request based on parameters such as processing and reply times. Usage of genetic algorithms in server selection is researched in this paper taking into consideration various probabilities for mutation and crossover.

...Fig. 2 gives a schematic diagram for the load balancer and mirror servers relations...Fig. 4 plots the fittest value for each generation. The plot sh...

• Neural Network World; International Journal on Neural and Mass - Parallel Computing and Information Systems
• Band 17 Nr. 4, Juli 2007