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...

Deep convolutional neural networks (CNNs) are widely used in hyperspectral image (HSI) classification. However, the most successful CNN architectures handcrafted, which need professional knowledge and consume a very significant amount of time. To automatically design cell-based for HSI classification, we propose an efficient continuous evolutionary method, named CPSO-Net, can dramatically accel...

due to project evaluation complexity and resource constraints, the project portfolio optimization is numerous decision making challenges. hence, many researches have been done to introduce model and methods for portfolio optimization. but most of them have not considered the interaction between projects. considering the interactions between projects increase complexity of portfolio optimization...

The brushless direct current (BLDC) motor drive is gaining popularity due to its excellent controllability and high efficiency. This paper introduces a fault diagnosis method for open circuit (OC) short (SC) BLDC drives using hybrid classifier with optimization. Features such as current, voltage, speed, torque are considered the training data. features extracted by discrete wavelet transform (D...

The internal components of a smart building interact through compatible fabric and logic. A integrates systems, structure, services, management, their interrelationships to create dynamic cost-efficient environment. Smart buildings reduce the amount cooling heating load required cool heat spaces, thereby lowering operating costs energy consumption without sacrificing occupant comfort. structure...

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...

Submitted: Jul 9, 2013; Accepted: Aug 17, 2013; Published: Oct 3, 2013 Abstract: This paper proposes a new type of PID controller. The desired multi inputmulti -output (MIMO) nonlinear system behavior is described by a set of Takagi-Sugeno (T-S) model. However, due to the complexity of the real processes, obtaining a high quality control with a short settle time, a periodical step response and ...