Bayesian network is a directed acyclic graph. Existing Bayesian network learning approaches based on search & scoring usually work with a heuristic search for finding the highest scoring structure. This paper describes a new data mining algorithm to learn Bayesian networks structures based on an immune binary particle swarm optimization (IBPSO) method and the Minimum Description Length (MDL) pr...

The artificial bee colony (ABC) algorithm, which was inspired by the foraging and dance behaviors of real honey bee colonies, was first introduced for solving numerical optimization problems. When the solution space of the optimization problem is binary-structured, the basic ABC algorithm should be modified for solving this class of problems. In this study, we propose XOR-based modification for...

Sensor node deployment is one of the critical topics addressed in wireless sensor networks (WSNs) research, which determines coverage efficiency of WSNs. This paper proposes a self-organizing algorithm for enhancing the coverage for WSNs, which is so-called Ionic bond-directed particle swarm optimization (IBPSO). The proposed algorithm combines the ionic bond method with particle swarm optimiza...

Transmission network expansion planning (TNEP) is an important component of power system planning. It determines the characteristics and performance of the future electric power network and influences the power system operation directly. Different methods have been proposed for the solution of the static transmission network expansion planning (STNEP) problem till now. But in all of them, STNEP...

<p>Breast cancer is one of the significant deaths causing diseases women around globe. Therefore, high accuracy in prediction models vital to improving patients’ treatment quality and survivability rate. In this work, we presented a new method namely improved balancing particle swarm optimization (IBPSO) algorithm predict stage breast using unbalanced surveillance epidemiology end result ...

The accurate localization of the rolling element failure is very important to ensure reliability rotating machinery. This paper proposes an efficient and anti-noise fault diagnosis model for elements. proposed composed feature extraction, selection classification. Feature extraction signal processing noise reduction. Signal carried out by local mean decomposition (LMD), reduction performed prod...

transmission network expansion planning (tnep) is an important component of power system planning. itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. different methods have been proposed for the solution of the static transmissionnetwork expansion planning (stnep) problem till now. but in all of them, stnep pr...

Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP pr...