⎯ This paper proposed an improved particle swarm optimization algorithm (IPSO) to solve continuous function optimization problems. Two improvement strategies named “Vector correction strategy” and “Jump out of local optimum strategy” were employed in our improved algorithm. The algorithm was tested using 25 newly proposed benchmark instances in Congress on Evolutionary Computation 2005 (CEC200...

This article presents a novel control strategy for nonlinear chromatographic processes. A generalized run-to-run control (GR2R) approach is developed for the optimization and control of preparative chromatographic processes. Run-to-run control is an operational strategy that handles batch-to-batch variations and gives good performance compared to the cases where operating conditions are maintai...

This article describes the implementation of a strategy that selects, destroys, and replaces some individuals of a population of six real autonomous mobile robots. This strategy was called Predation. We introduce Predation as a methodology for improving the performance of an embedded evolutionary system developed for the automatic design of robotic controllers. The paper describes how the evolu...

Dynamic resource allocation based on the current channel state is a promising strategy to increase the capacity of wireless links. In this paper, the optimum accessing and resource allocation scheme for fading multiple–access channels with partial CSI at the transmitters are found. Partial knowledge of the fading states is a reasonable assumption for systems which provide a low rate feedback ch...

We consider the downlink throughput maximization problem for interference limited multiuser systems. Our goal is to characterize the optimum base station transmission policy (TDMA or CDMA), and find the corresponding power allocation. We model the interference by the aid of the orthogonality factor and determine the transmission strategy for a range of the values of the orthogonality factor, an...

In this paper, we use Kansa method for solving the system of differential equations in the area of biology. One of the challenges in Kansa method is picking out an optimum value for Shape parameter in Radial basis function to achieve the best result of the method because there are not any available analytical approaches for obtaining optimum Shape parameter. For this reason, we design a genetic...