Genetic algorithm has an important role in improving clustering methods. When it comes to getting into a dataset, one of the most common methods used is clustering. Recent years have seen rise number articles interested clustering, which may be attributed development various new fields application. Most method's performance depends on initial values parameters or preprocessing so needs optimize...

this paper focuses on multi-objective designing of multi-machine thyristor controlled series compensator (tcsc) using strength pareto evolutionary algorithm (spea). the tcsc parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a spea ...

one of the best applications of automated navigation systems is the use of automatic steering systems in agricultural vehicles. in this research, a machine vision algorithm was designed, based on image acquisition from a camera mounted on front of acombine harvester cab fordetection of its forward path. after filtration and optimization of the image, hough transform was utilized for extracting ...

restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the distributed generation (dg) resources. dg units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. in this paper, the allocation and sizing of di...

In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...