Two popular particle swarm optimization (PSO) formulations; fuzzy–PSO (FPSO) and chaos–PSO (CPSO) have previously been studied in the literature. The charisma factor in FPSO gives the ability to track the particles which are closest to the optimum. CPSO has been aimed to search the area by using the chaotic maps. These two different algorithms are shown to demonstrate sufficient performance ind...

Trong bài báo này, chúng tôi trình bày việc thiết kế bộ điều khiển mờ (Fuzzy Logic Controller – FLC) tối ưu dựa trên thuật toán bầy đàn (Particle Swarm Optimization - PSO). Bộ FLC được với các hàm thuộc phân bố đều và đối xứng miền xác định của biến. Hệ luật xây dựng mối quan hệ biến thiên đơn điệu tăng giữa đầu ra vào, sử dụng PSO để hoá trọng số mỗi luật. Để so sánh đánh giá tính hiệu quả phư...

A new class of fuzzy stochastic optimization models—two-stage fuzzy stochastic programming with Value-at-Risk (FSP-VaR) criteria is built in this paper. Some properties of the two-stage FSP-VaR, such as value of perfect information (VPI), value of fuzzy random solution (VFRS), and bounds of the fuzzy random solution, are discussed. An Approximation Algorithm is proposed to compute the VaR by co...

The paper discusses an improved modeling of transformer windings based on particle swarm optimization algorithm (PSO) and frequency response analysis (FRA). With the purpose to accurately identify transformer windings parameters a model-based identification approach is introduced using a well-known lumped parameter model. It includes search space estimation using analytical calculations, which ...

In map generalization, road symbolization and map scale reduction may create spatial conflicts between roads and neighboring buildings. To resolve these conflicts, cartographers often displace the buildings. However, because such displacement sometimes produces secondary spatial conflicts, it is necessary to solve the spatial conflicts iteratively. In this paper, we apply the immune genetic alg...

Distant luminous quasars provide important information on the growth of the first supermassive black holes, their host galaxies and the epoch of reionization. The identification of quasars is usually performed through detection of their Lyman-α line redshifted to 0.9 microns at z > 6.5. Here, we report the discovery of a very Lyman-α luminous quasar, PSO J006.1240 + 39.2219 at redshift z = 6.61...

42 A Hybrid PSO-LEVY Flight Algorithm Based Fuzzy PID Controller for Automatic Generation Control of Multi Area Power Systems: Fuzzy Based Hybrid PSO for Automatic Generation Control; Ajit Kumar Barisal, Veer Surendra Sai University of Technology, Burla, Odisha, India Tapas Kumar Panigrahi, IIIT, Bhubaneswar, Odisha, India Somanath Mishra, Veer Surendra Sai University of Technology, Burla, Odis...

Financial forecasting is an estimation of future financial outcomes for a company, industry, country using historical internal accounting and sales data. We may predict the future outcome of BSE_SENSEX practically by some soft computing techniques and can also optimized using PSO (Particle Swarm Optimization), EA (Evolutionary Algorithm) or DEA (Differential Evolutionary Algorithm) etc. PSO is ...

The Particle Swarm Optimized (PSO) fuzzy controller has been proposed for indirect vector control of induction motor. In this proposed scheme a Neutral Point Clamped (NPC) multilevel inverter is used and hysteresis current control technique has been adopted for switching the IGBTs. A Mamdani type fuzzy controller is used in place of conventional PI controller. To ensure better performance of fu...

In this paper, five previous Particle Swarm Optimization (PSO) algorithms for multimodal function optimization are reviewed. A new and a successful PSO based algorithm, named as CPSO is proposed. CPSO enhances the exploration and exploitation capabilities of PSO by performing search using a random walk and a hill climbing components. Furthermore, one of the previous PSO approaches is improved i...