normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

for any agency dealing with the design of the water distribution network, an economic design will be an objective. in this research, central force optimization (cfo) and differential evolution (de) algorithm were used to optimize ismail abad water distribution network. optimization of the network has been evaluated by developing an optimization model based on cfo and de algorithm in matlab and ...

In this paper, based on the analysis of the time urgency in medicine relief demand and kinds of complexity in the early period after earthquake disasters, the problem about vehicle scheduling in the medicine dispatching process is studied. A mathematical model of vehicle scheduling in the medicine dispatching process is built, which objective function is to minimize the total transportation tim...

In this paper, a multi-objective approach is applied to the design of aperiodic linear arrays of antennas. The adopted procedure is based on a standard Matlab implementation of the Controlled Elitist Non-Dominated Sorting Genetic Algorithm II. Broadside symmetrical arrays of isotropic radiators are considered with both uniform and non-uniform excitations. The work focuses on whether, and in whi...

in this research work, a novel parallel manipulator with high positioning and orienting rate is introduced. this mechanism has two rotational and one translational degree of freedom. kinematics and jacobian analysis are investigated. moreover, workspace analysis and optimization has been performed by using genetic algorithm toolbox in matlab software. because of decreasing moving elements, it i...

Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...

In this paper the benchmarking functions are used to evaluate and check particle swarm optimization (PSO) algorithm. However, utilized have two dimension but they selected with different difficulty models. order prove capability of PSO, it is compared genetic algorithm (GA). Hence, algorithms in terms objective standard deviation. Different runs been taken get convincing results parameters chos...