The Brushless DC Motor drive systems are used widely with renewable energy resources. power converter controlling technique increases the performance by novel techniques and algorithms. Conventional approaches mostly focused on buck converter, Fuzzy logic control various switching activity. In this proposed research work, QPSO (Quantum Particle Swarm Optimization algorithm) is state of from gen...

The clinical data including clinical test results, MRI images and drug responses of patients are documented and analyzed with machine learning and data mining tools. The scale and complexity of these datasets is a big challenge to machine learning and data mining community as the data is of mixed type. The extraction of meaningful or desired information from these datasets provides knowledge in...

Standard particle swarm optimization(PSO) has capacity of local search exploitation and global search exploratio. The population diversity gets easily lost during the latter period of evolution, which means most particles are convergenced into near positions which is the local optimia. In this paper, a Euclid distance based hybird quantum particle swarm optimization (HQPSO) is brought up. Based...

Location information is crucial in various location-based applications, the nodes in location system are often deployed in the 3D scenario in particle, so that localization algorithms in a three-dimensional space are necessary. The existing RFID three-dimensional (3D) localization technology based on the LANDMARC localization algorithm is widely used because of its low complexity, but its local...

In this paper, a multi-depots capacitated vehicle routing problem where client demand is composed of two-dimensional weighted items (2L-MDCVRP) is addressed. The problem calls for the minimization of the cost of transportation needed for the delivery of the goods demanded by the clients, and carried out by a fleet of vehicles based at several depots. The overall problem, denoted as 2L-MDCVRP, i...

Due to the low computational precision, local optimal solution and slow convergence speed of particle swarm optimization (PSO) algorithm, an improved PSO (SAQPSO) algorithm based on simulated annealing (SA) and quantum theory is proposed in this paper. The first, quantum theory is used to change the updating mode of the particles in order to improve the search speed and the convergence precisio...

Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and there are some cases where the gas samples in the real world are complex and unlabeled. As a result, it is necessary to make an E-nose that cannot only...

To be successful in financial market trading it is necessary to correctly predict future market trends. Most professional traders use technical analysis to forecast future market prices. In this paper, we present a new hybrid intelligent method to forecast financial time series, especially for the Foreign Exchange Market (FX). To emulate the way real traders make predictions, this method uses b...

This paper proposes a combination of non-local spatial information and quantum-inspired shuffled frog leaping algorithm to detect underwater objects in sonar images. Specifically, for the first time, the problem of inappropriate filtering degree parameter which commonly occurs in non-local spatial information and seriously affects the denoising performance in sonar images, was solved with the m...

Compressing the image causes less memory to be used store images. images increases transmission speed of compressed in network. Vector quantization (VQ) is one compression methods. The challenge vector method for non-optimization codebooks. Codebook optimization quality and reduces volume Various methods swarm intelligence meta-heuristics are improve algorithm, but using meta-heuristic based on...