High dimensional biomedical datasets contain thousands of features which can be used in molecular diagnosis of disease, however, such datasets contain many irrelevant or weak correlation features which influence the predictive accuracy of diagnosis. Without a feature selection algorithm, it is difficult for the existing classification techniques to accurately identify patterns in the features. ...

Multilevel thresholding is an important technique for image processing and pattern recognition. The maximum entropy thresholding (MET) has been widely applied in the literature. In this paper, a new multilevel MET algorithm based on the technology of the shuffled frog-leaping (SFLO) algorithm is proposed: called the maximum entropy based shuffled frog-leaping algorithm thresholding (MESFLOT) me...

This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...

In energy-limited WSNs, coverage and connectivity are two of the most fundamental QoS issues, which have a great impact on the performance of WSNs for minimizing the node energy consumption and maximizing the network coverage lifetime. Due to the node distribution, the energy consumption among nodes is more imbalanced in cluster-based WSNs. Based on this problem, this paper proposes Sink Mobili...

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

The most important research area in robotics is navigation algorithms. Robot path planning (RPP) the process of choosing best route for a mobile robot to take before it moves. Finding an ideal or nearly referred as “path optimization.” solution values that satisfy single number objectives, such shortest, smoothest, and safest path, goal. objective this study present overview strategies robots u...