Due to the purpose of this study that reducing power consumption in cloud network is based on load balancing, fitness function measures balance between and servers (the hosts). This technique appropriate for handling resource optimization challenges, due ability convert balancing problem into an (reducing imbalance cost). In research, combining results particle swarm genetic (PSGO) algorithm us...

t his paper presents a new feature selection approach for automatically extracting   ms lesions in 3d mr images. presented method is applicable to different types of ms lesions. in this method, t1, t2 and flair images are firstly preprocessed. in the next phase, effective features to extract ms lesions are selected by using a genetic algorithm. the fitness function of the genetic algorithm is t...

in the research, six degrees of freedom hexapod parallel machine tool is studied and investigated. jacobian matrix is developed by cinematic relations differentiation and using weighted coefficient method, dimensional analysis operation is carried out on jacobian matrix. geometric parameters of cartesian robot workspace are optimized, considering a minimum allowable rotation about three axes, a...

The weekly maintenance schedule specifies when maintenance activities should be performed on the equipment, taking into account the availability of workers and maintenance bays, and other operational constraints. The current approach to generating this schedule is labour intensive and requires coordination between the maintenance schedulers and operations staff to minimise its impact on the ope...

Wearable ECG sensors are growing in their popularity day by day. These ECG sensors run on batteries, hence carry a limited battery life. The ECG sensors are also used to monitor the fetal health, which are called FECG sensors. These sensors are used with the pregnant women for the fetal ECG monitoring to avoid the critical health hazards. In this research, the signal optimized for its easy tran...

The paper proposes a novel function expression method to forecast chaotic time series, using an improved genetic-simulated annealing (IGSA) algorithm to establish the optimum function expression that describes the behavior of time series. In order to deal with the weakness associated with the genetic algorithm, the proposed algorithm incorporates the simulated annealing operation which has the ...

in this paper, a new genetic algorithm (ga) is presented for solving the multi-mode resource-constrained project scheduling problem (mrcpsp) with minimization of project makespan as the objective subject to resource and precedence constraints. a random key and the related mode list (ml) representation scheme are used as encoding schemes and the multi-mode serial schedule generation scheme (mssg...

This paper presents a special flexible job shop scheduling problem which has continuous-operation constraints at the last stages. In other words, jobs at the last stage which need the same machine must be processed one by one without intervals. An integrated approach combining the simulation of production processes and the genetic algorithm is used to solve the problem. The processing paths of ...

Credit scoring methods have been widely investigated by researchers; recently, genetic algorithms have attracted particular attention. Many research papers comparing the performance of genetic algorithms and traditional scoring techniques have been published, but most do not provide enough detail about the fitness function used by the genetic algorithm—despite the fact that fitness function has...