Artificial Bee Colony (ABC) is one of the recently introduced optimization methodsbased on intelligent behavior of honey bees. In this work, we propose an Adaptive Multi-ObjectiveArtificial Bee Colony (A-MOABC) Optimizer ...

In the present study, we propose a novel clustering-based method for modeling accuratefuzzy rule-based classification systems. The new method is a combination of a data mappingmethod, subtractive clustering method and an ...

As a result of the increasing popularity of social networking websites like Facebookand Twitter, analysis of the structure of these networks has received significant attention. The mostimportant part of these analyses is ...

One of the fundamental methods used in collaborative filtering systems is Correlationbased on K-nearest neighborhood. These systems rely on historical rating data and preferences ofusers and items in order to propose ...

To attract more investments for developing smart transmission networks and increasingtheir flexibility and efficiency, recently policies have been suggested which provide financialincentives in transmission network investment. ...

One of the prevalent methods to increase the network lifetime is to develop theuniformity in the sensor node distribution and load balancing. The existing criteria to calculate theuniformity are only able to locally or ...

Subspace Pursuit (SP) is an efficient algorithm for sparse signal reconstruction. Whenthe interested signal is block sparse, i.e., the nonzero elements occur in clusters, block sparserecovery algorithms are developed. In ...