As an important part of smart grid, EVs have many advantages in energy saving and low pollution and become a research hotspot. Based on the wireless power transfer technology, dynamic power supply technology develops rapidly and can effectively reduce the battery capacity of EVs. This paper the issue on the optimal design of sectional dynamic power supply track has been investigates the optimal...

Vertical partition is an important technique in database design used to enhance performance in database systems. Vertical fragmentation is a combinatorial optimization problem that is NP-hard in most cases. We propose an application and an adaptation of an improved combinatorial particle swarm optimization (ICPSO) algorithm for the vertical fragmentation problem. The original CPSO algorithm [3]...

in this article, multiple-product pvrp with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. a mathematical formulation was provided for this problem. each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. to solve the problem, two meta-heuristic methods...

Vertical partition is an important technique in database design used to enhance performance in database systems. Vertical fragmentation is a combinatorial optimization problem that is NP-hard in most cases. We propose an application and an adaptation of an improved combinatorial particle swarm optimization (ICPSO) algorithm for the vertical fragmentation problem. The original CPSO algorithm [1]...

In this paper, the chaotic particle swarm optimization (CPSO) algorithm is combined with MATPOWER toolbox and used as an tool for attaining solving optimal reactive power dispatch (RPD) problem, by finding adjustment of control variables like a voltage generator buses (VG), capacitor banks (QC) transformer taps (Tap) while satisfying some equality inequality constraints at same time. CPSO Simpl...

A niche chaotic mutation particle swarm optimization (NCPSO) algorithm is proposed to overcome the problem of loss details of images, the contrast is not obvious and poor adaptability in traditional image enhancement methods. In this algorithm, niching methods and elimination strategy are introduced to improve the global optimization ability. Mutative scale chaos mutation algorithm has refined ...

This study proposes a multi-objective optimization model of two cascade reservoirs in the Upper Yellow River basin for increasing social well-beings in general while simultaneously mitigating ice/flood threats. We first develop a strategy of dimensionality reduction and constraint transformation to largely diminish the complexity of the optimization system and next propose a novel search method...

Based on the issue of torsional vibration, this article analyzes the structure of the drive part of coaxial drive printing system, constructs its mathematic model, and explores the mechanism of generation of torsional vibration of press-that is the coupling of inherent frequency between input signal and machine drive system which leads to torsional vibration. In view of this, it adopts the clos...

The converter is an important component of a wind turbine, and its control system has significant impact on the dynamic output characteristics turbine. For double-fed induction generator (DFIG) converter, parameter identification method proposed. In this paper, detailed model DFIG with built, trajectory sensitivity used to study observation points that are sensitive change parameters as quantit...

A fault diagnosis method for sensor fault based on ensemble empirical mode decomposition (EEMD) energy entropy and optimized structural parameters least squares support vector machine (LSSVM) is put forward in this paper. Firstly, the original output fault signals are pretreatment with EEMD, and then the EEMD energy entropy is extracted as the fault feature vector. Then the radial basis functio...