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Rapid advancements in power electronics have enabled the evolution of multilevel inverters (MLIs) for diverse applications. Compared to traditional two- level inverters, MLIs offer several advantages such as reduced voltage stress, minimized electromagnetic interference, and smaller filter requirements....

A robust flight control method based on the particle swarm optimization (PSO) algorithm is approved in this paper. Because of non-modeling dynamic character and parameter uncertainty are taken into consideration during the controller design process, the flight controller has strong robustness, excellent...

An unmanned helicopter dynamic model identification method based on immune particle swarm optimization (PSO) algorithm is approved in this paper. In order to improve the search efficiency of PSO and avoid the premature convergence, the PSO algorithm is combined with the immune algorithm. The unmanned...

In order to set up universal and non-linear map of variables, a full binary tree is constructed as mathematical model. Leaf nodes of the full binary tree are linear combination of input variables, and used as inputs of next nodes. On the basis of weighting two inputs by selector for inner node, the inputs...

Aiming at the multi-sensor multi-target assignment (MSMTA) problem under complex air defense combat environment, a new MSMTA model is proposed with the compositive combat efficiency of the identification, tracking and positioning stage. And then, the quantum particle swarm optimization (QPSQ) algorithm...

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, necessitating advanced diagnostic tools that provide high accuracy and efficiency. This paper introduces a novel framework, the “Gorilla Troops Optimization-based Convolutional Neural Network (GTO-CNN) for Lung Cancer...

For staff, environment, equipment and management the four aspects, the early warning index system of coal mine safety production adopts the additional momentum method and adaptive vector, particle swarm optimization (PSO) algorithm and the method of variable weight and asynchronous learning factor and...

IETF has specified Mobile IPv4 and Mobile IPv6 in RFC3344 and RFC3775 respectively, but not yet discussed Mobile IPv4/v6 in any published RFC. This paper proposes a scheme to solve one of Mobile IPv4/v6 problems which Home Agent (HA) locates in IPv6 network, and Correspondent Node (CN) locates in IPv4...

The performance of particle swarm optimization (PSO) is limited by its local minima, defects and poor precision. To solve this problem, we present a hybrid adaptive particle swarm optimizationª. Two approaches, symmetric distribution and simulated annealing algorithm, have been used to improve the PSO...

Although many problems in computer vision and natural language processing have made breakthrough progress with neural networks, adversarial attack is a serious potential problem in many neural network- based applications. Attackers can mislead classifiers with slightly perturbed examples, which are called...

Complex of cell-THPC-thiourea-ADP with lanthanide metal ions Dy3+ has been prepared. The thermal stability and smoke suspension of the samples are determined by TG, DTA and cone calorimetry. Experimental data show that for the complexes of cell-THPC-thiourea-ADP with the metal ions, thermal decomposition...

Flexible polyurethane foam has been treated with borax, expanded graphite (EG), EG/borax as flame retardant, respectively. The thermal degradation of samples has been studied by thermogravimetry (TG) and differential thermogravimetry (DTG) in air. From the resulting data, kinetic parameters for different...

Recent developments of EEDI (energy efficiency design index) which is an indicator of ship’s energy efficiency level imposed the cost effectiveness of sea-going vessels. Optimization of the ship’s total energy system is studied in this paper. This study is focus on optimum load sharing control, which...

In this study, an acid and alkali resistance cationic polyacrylamide flocculants (P(AM-MAPTAC)) was synthesized through copolymerization of acrylamide (AM) and methacrylamido propyl trimethyl ammonium chloride (MAPTAC) by innovative ultrasonic initiation technology. The structure and thermal decomposition...

Particle swarm optimization (PSO) tends to be premature convergence due to easily trapping into local suboptimal areas. In order to overcome the PSO's defects, the reasons causing the defects are analyzed and summarized as population diversity deficiency, insufficient information sharing, unbalance...

Particle swarm optimization (PSO) has been a popular research area in artificial intelligence technology, where the two issues of theoretical analysis and premature convergence have been the focus of attention. However, due to complex dynamics in particle swarm, the former has been conducted only in...

This paper put forward a novel intelligent algorithm of orthogonal design for circuit parameters. The intelligent orthogonal optimization differs from conventional orthogonal design. According to variance and variance ratio analysis of the orthogonal design, the next searching direction and range of...

The output of photovoltaic array under non-uniform light is nonlinear with multi peaks. Since the traditional MPPT algorithm based on particle swarm optimization (PSO) is likely to fall into premature convergence and may work slower in the later iterations, the MPPT method based on improved PSO with...

This article proposes a method to solve route plan problem of unmanned underwater vehicle (UUV) using particle swarm optimization (PSO). Firstly, traditional electronic nautical map is preprocessed to decrease calculated amount in computation of route cost and improve plan instantaneity using technique...

Epoxy resins modified with low-viscosity hyperbranched epoxy were prepared. The tensile strength, flexural strength, impact strength, fracture toughness, glass transition temperature (Tg) of the cured samples were investigated. The results show that the addition of hyperbranched epoxy improves the overall...

Splicing is copy-move operation on different image, and it is one of the most commonly used operations of image tampering. Aiming at the poor performance on detection, a kind of image splicing detection method based on particle swarm algorithm is proposed. First, we extracted two different image features:...

New free radical-cationic hybrid photopolymer, consisting of acrylate-based and epoxy-based photosensitive resin for stereolithography was prepared. The influence of the initiator sort and amount on the curing degree of the photopolymer was investigated. Photopolymerization process, degradation temperature,...

In order to further investigate the intelligent optimization of particle swarm optimization (pso) algorithm, we carried on the design experiments in this paper, the particle swarm optimization (pso) algorithm, the position of the first set search point X0i and speed V0i initialization;Then evaluate each...

Support vector regression (SVR) is widely applied as a powerful method for data regression in engineering design and optimization. The regression accuracy and generalization performance of SVR model depend on the proper setting of its parameters. To this end, it is necessary to find an automated reliable,...

Short-term load prediction of power system has great significance for safety and economy of power system operation as basic content of power system operation management and real-time control. In the paper, power system short-term load predicting model based on RBF neural network was established. Influences...

In this study, the pyrolysis of Zichang˚Coal (ZC) was investigated by thermogravimetry (TG) using three˚Catalysts, and the yields of the products obtained from pyrolysis, as well as gas˚Composition, were investigated by gas˚Chromatography (GC) using a fixed-bed reactor. The˚Catalytic mechanism was discussed...

Nanocrystalline CeO2 powders were synthesized using stearic acid and cerium nitrate by sol-gel and self-propagating combustion coupled method. Influence of various molar ratio of stearic acid and cerium nitrate on the products grain and colour were discussed. Powder appearance, crystal phase, specific...

This article first introduces the basic theory of fuzzy control and design of the general steps of the fuzzy controller, the basic principle of fuzzy PID is presented. Then use particle swarm algorithm to optimize fuzzy rules. In the end, the optimized fuzzy PID triaxial stability for unmanned aerial...

It is important and difficult for underwater weapons to get ship’s structure parameters from limited physical field signals. The degree of recognition will directly affect weapons’ attacking result. Nowadays, some researchers used acoustic model to recognize underwater object, however, few research about...

Both disease detection using Wireless Sensor Networks (WSN) and the health care industry may be greatly augmented with the employment of hybrid optimization algorithms. Herein, the current research propounds a novel hybrid optimization approach by combining PSO with GSO and SFG. The suggested method...

Micro-grid is a new technology approach for the distribution of distributed power generation systems into distribution systems. It can effectively integrate renewable energy (solar energy, wind energy, etc.), energy storage and loads. The issue of optimizing the capacity of the micro-grid is a very important...

Cancer is a fatal disease that is continuously growing in the developed countries. It is also considered as a main global human health problem. Based on several studies, which have been conducted so far, we found out that Hybrid Particle Swarm Optimization and Artificial Bee Colony Algorithm has never...

Based on Optimal Latin Hypercube Design (Opt LHD) method and Particle Swarm Optimization (PSO) algorithm, this article presents a method for tuning PID control parameters of quad-rotor. Firstly, the range of 15 PID parameters are obtained by experience. Within the range of the PID parameters, Opt LHD...

The least squares support vector machines to solve small sample, nonlinear show some advantages, is very suitable for prediction of complex field intensity in mine tunnel , but the choice of kernel function and parameters for predicting the results have greater impact .PSO optimizing LSSVM parameters...

The temperature is an important parameter for resistance furnace among the industries. Its nonlinear characteristics makes it is difficult to be controlled, therefore it is necessary to find out an effective method to get the resistance furnace temperature under control. The hybrid particle swarm algorithm...

In order to get an image with every object in focus, an image fusion process is required to fuse the images under different focal settings. In this paper, a novel multifocus image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly the source...

In order to solve the problems that the network security defense measures are independent, passive and lagging, and anomaly detection needs an effective training set, a scalable dynamic compound virtual network framework and strategy for active defense is designed and realized in this paper, a classification...

In this paper, game-theoretic optimization by particle swarm optimization (PSO) is used to determine the Nash equilibrium value, in order to resolve the confusion in choosing appropriate bidders in multi-round procurement. To this end, we introduce an approach that proposes (i) a game-theoretic model...

We study the influence of fuzziness of trapezoidal fuzzy sets in the strong fuzzy partitions (SFPs) that constitute the database of a fuzzy rule-based classifier. To this end, we develop a particular representation of the trapezoidal fuzzy sets that is based on the concept of cuts, which are the cross-points...

The inverter is a significant part in the single phase grid-connected inverter system. The design of control strategy for photovoltaic power generation system has a decisive role in the system. The fractional order controller is applied to the grid-connected inverter to improve the single phase photovoltaic...

An improved particle swarm optimization (PSO) algorithm coupling with prior information for classification of large scale dataset is proposed in this paper. The prior information derived from the data set is used to determine the initial position of the particles. In the new algorithm, neural network...

Rotor structure design technology often employed finite element analysis software (ANSYS), which are computational expense and highly time cost and need to employ approximation techniques. We herein studied a Kriging Model-based approximation technique, and applied it to optimize rotor structure. Firstly,...

Presented an improved particle swarm optimization algorithm, introduced a crossover operation for the particle location, interfered the particles’ speed, made inert particles escape the local optimum points, enhanced PSO algorithm's ability to break away from local extreme point. Utilized improved algorithms...

Steel production is regarded as a typical multi-stage system given its long process flow feature. In this paper, the quality predictive control features of steel production is studied; a two-phased PSO-SVM predictive control model for multi-stage production is established. In order to solve the model,...

For a class of nonlinear systems with uncertainty, a fuzzy sliding mode control method based on particle swarm algorithm, combined with the strong robustness of sliding mode control with fuzzy control is a good approximation capability, use the quasi sliding mode control make the system tracking error...

In this paper, an optimization design method based on the Particle Swarm Optimization (PSO) technique is proposed for the enhancement of the passive suspension system performance of heavy vehicles. The optimization problem based on a quarter-vehicle model aims to minimize the dynamic tyre load subject...

Topology plays an important role for Particle Swarm Optimization (PSO) to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve better optimization performance than the others since the optimization performance not only depends on the searching...

Virtual machine scheduling is the process of selecting the most suitable server in cloud data centers to deploy newly created VMs. The optimal placement is important for improving resource utilization and reducing resource wastage in a cloud computing environment. In this article, we propose an Self-Adaptive...

In this paper, we collected the meteorological data and forest fire danger rating data of four stations in JiangXi (NanChang, JingDeZhen, GiAn, GanZhou) from 2013 to 2015, and build a neural network fire prediction model. Then use GA, PSO and PSO-GA hybrid algorithm to improve BP neural network.By contrasting...

RNA Secondary Structure Prediction is an important part of the biological computing. RNA secondary structure prediction algorithms tend to have higher time and space complexity. Some swarm intelligence algorithms can also be applied to RNA secondary structure prediction on the basis of stem regions combinatorial...