Search all articles

Traditional target tracking methods are easy to lose the target in complex background, especially tracking multiple targets. In this paper PSO Particle Swarm Optimization algorithm is presented, it is used to calculate the weights of features. and weight the features to get optimal feature, then apply...

The optimization problems and algorithms are the basics subfield in artificial intelligence, which is booming in the almost any industrial field. However, the computational cost is always the issue which hinders its applicability. This paper proposes a novel hybrid optimization algorithm for solving...

Closed operation control of section switch and loop switch in distribution network to change the topology structure of the distribution network, thereby changing the distribution of power flows in the distribution network. It can improve the operating efficiency of the distribution network. In addition,...

Localization is one of the key issues in wireless sensor networks. Several algorithms and techniques have been introduced for localization. Localization is a procedural technique of estimating the sensor node location. In this paper, a novel three hybrid algorithms based on firefly is proposed for localization...

In the disturbed case, since the parameter tuning method is imperfect, there have been issues of excessive overshoot and adjusting time in MFAC. To optimize MFAC controller, a MFAC-ABC is proposed, with ITAE criterion as the fitness function, and key parameters of _kand are optimized and tuned using...

We Propose PSO-BP network traffic prediction algorithm which based on BP neural network and improved by the particle swarm optimization. Use PSO algorithm to optimize the initial weight and threshold values of BP network, and use history to train BP neural network and realize the simulation by MATLAB....

The thermal circuit model of oil-immersed transformer needs to improve its accuracy in predicting the winding hottest-spot temperature, especially in the case of overload and different cooling modes. In the case of overload condition, the estimate values obtained from most existing models are smaller...

Designed a DNA-based genetic algorithm under the universal architecture of organic computing, combined particle swarm optimization algorithm, introduced a crossover operation for the particle location, can interfere with the particles’ speed, make inert particles escape the local optimum points, enhanced...

State of health (SOH) estimation plays a significant role in battery prognostics. In this paper, Gaussian Process Regression (GPR) is used as a data-driven approach to perform SOH estimation, which supports uncertainty representation and management. At present, the hyper- parameters of GPR are optimized...

Many hydrocarbon explorations in mature fields have been severely affected by complex and overburdening issues, such as shallow gas accumulation, gas pockets, and gas seepage. In this work, a new forward modelling technique is proposed in evaluating the potential survey design for fields affected by...

Traffic network distribution based on distribution center problem (TNDBDCP) is put forward, which can not be solved by traditional algorithms. In order to solve TNDBDCP, Particle Swarm Optimization (PSO) is put forward based on the idea of global and feasible searching. In the PSO, introducing check...

TiO2-SiO2 film were prepared by sol-gel process. The prepared samples of these films have been characterized by FT-IR spectroscopy, TG-DTA, XRD and AFM. The transmittance of these films is tested by UV-VIS spectroscopy. The results show that the double doped glass antireflection film antireflection performance...

In the cloud computing environment, one of the hot spot of researches in cloud computing is how to accomplish the service request in numerous running tasks. This paper puts forward an improved hybrid particle swarm optimization, firstly using particle swarm algorithm as the main level algorithm, the...

Concurrent programs are being widely adopted in development of multi-core and many-core processors. However, these types of programs present some features such as concurrency, communication and synchronization which make their testing more challenging than sequential programs. Search-based techniques,...

Natural silk fibers were used as the template to synthesis biomorphic Fe2O3 fibers. Silk fibers were first immersed into a Fe(NO3)3 solution and then sintered in air at high temperatures to produce the final Fe2O3 fibers. Their microstructures, phases, and synthesis process were analyzed. The results...

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) is located in IPv4 network, Correspondent Node (CN) is located in IPv6...

Based on the metaphor of specialization and cooperation in hierarchical social organization, a new particle swarm optimization (PSO) algorithm, hierarchical subpopulation PSO (HS-PSO), was proposed. In HS-PSO, the entire population is divided into several subpopulations which are arranged in a hierarchy....

This paper proposes a parallelization method for meta-heuristic particle swarm optimization algorithm to obtain a convincingly fast execution and stable global solution result. Applied the proposed method, the searching region is efficiently separated into sub-regions which are simultaneously searched...

Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through...

The sludge discharge model in wastewater biochemical treatment is highly nonlinear,Accurate prediction of sludge discharge will provide basic data for the precise control of subsequent sludge dewatering process In the research based on this method, due to the relevance vector machine(RVM) has high sparseness...

Research the pyrolysis kinetics of eucalyptus and the absorption band and characteristic peaks of volatile pruducts under the heating rate 10?•min-1, 30?•min-1, 60?•min-1respectively. The experimental results show that eucalyptus pyrolysis process can be divided into 3 stages: moisture volatilizes stage,...

The capacity of Additive White Gaussian Noise (AWGN) Multiple Access Channel (MAC) can be approached by means of power allocation. The MAC can be regarded as single user multiple level coding and modulation system by applying pulse amplitude modulation to the individual signal and superimposing the weighted...

A terpolymer resin (NSMA) was synthesized with styrene, maleic anhydride and N-phenyl maleimide. The structure and composition was characterized with FT-IR and 13C-NMR. The thermal resistance of NSMA was determined through integrated thermal analysis. The results indicated that, when the molar ratio...

Aiming at the controlling of trajectory during the air-to-ground attack, firstly, the 6-DOF model of combat aircraft and the model of the threats are established. The thrust coefficient, angle-of-attack, and roll angle are chosen as the controlled quantity. Then establish the indicator function and the...

The presented study suggests a new nature–inspired metaheuristic optimization algorithm referred to as Red Colobuses Monkey (RCM) that can be used for optimization problems; this algorithm mimics the behavior related to red monkeys in nature. In preparation for proving the suggested algorithm's...

Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques. Particle swarm optimization (PSO) is a type of swarm intelligence that is based on social-psychological...

Standalone multi-element complementary microgrid plays a very important role in solving the electricity problems of many areas, which are rich in renewable energy but have problems in the power supply of traditional power grid. To ensure the reliability of power supply while improving overall economic...

Statistical process control charts have been widely utilized in manufacturing processes for determining whether a process is run in its intended mode or in the presence of unnatural patterns, it’s a multi-class classifier problem. Effective approaches to recognize control chart patterns is essential...

It is the most important thing to respond to mine fire that determining the optimal rescue path. This article is put forward the coefficient of accessing difficulty level by analyzing the factors which affecting underground fires, then constructing the optimal rescue path model of underground fire by...

Order-picking is a common operation in AS/RS (Automatic Storage and Retrieval System), and it is an effective method to optimize the order-picking for improving the efficiency of the automated warehouse. In this paper, we use a hybrid particle swarm optimization (Hybrid PSO) algorithm to optimize the...

Machine maintenance in industry requires speed and convenience, one method is vibration analysis. Engine vibrations cause a pattern of sound emitted by the engine, where the sound of one engine mixes with the sound of another engine. Excessive vibration levels in the engine indicate damage to engine...

This paper proposes an intelligent algorithm to predict the MBR membrane flux. The algorithm applies the least squares support vector machine (LS-SVM) to the research of MBR simulation prediction, optimize the penalty factor and kernel parameters of LS-SVM model by particle swarm optimization (PSO) for...

This paper explores advancements in portfolio management and investment strategies through the integration of cash optimization, financial modeling, artificial intelligence (AI), and sustainable property investment. It emphasizes the critical role of advanced optimization techniques, such as Particle...

A hybrid of artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO) is used to training feedforward neural network. After the two algorithms are introduced respectively, the hybrid algorithm based on the two is expressed. The hybrid not only has the artificial fish behaviors of swarm...

In a cooperative air combat, the whole command and control system (CCS) may lose control if the lead plane in the middle of the fleet is damaged or fails. In order to solve this problem, this article simulates a dynamic and global optimum CCS for the cooperative air combat with the particle swarm optimization...

The existing stability analysis of particle swarm optimization (PSO) algorithm is chiefly concluded by the assumption of constant transfer matrix or time-varying random transfer matrix. Firstly, one counterexample is provided to show that the existing convergence analysis is not possibly valid for PSO...

In wave-picking and entire-replenishment zone-based warehouse, the slotting and cartonization problems occur with equal frequency and can be the optimization conditions for each other. A dynamic location assignment model is proposed to minimize the wave-picking time among all of zones, and a particle...

Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem. The Particle Swarm Optimization has been proven to succeed in lots of problems, but the PSO algorithm is challenging due to a variety of factors such as easy to fall into local optimal solution and the convergence...

PSO algorithm is a kind of swarm intelligence optimization algorithm which has the advantages of simple principle, easy implementation, few parameters needed to adjust and so on. However, the search accuracy of the basic PSO algorithm still needs to be improved. In this paper, a modified PSO algorithm...

After an introduction of the principle of particle swarm optimization (PSO) algorithm based on swarm intelligence, and of the modified version of the PSO algorithm, a neural network system for gearbox fault diagnosis has been established. After being trained by PSO algorithm, the neural network system...

In this paper we mainly focus on how to reduce the searching spaces when accelerating the efficiency of searching for the best Bayesian network structure and a corresponding algorithm named MPD-PSO based on the combination of MPD(maximal prime decomposition technology) and PSO(particle swarm optimization...

For the purpose of discovering White Dwarf +Main Sequence (WDMS) from massive spectra, in this paper, an unsupervised learning algorithm for Nonlinear Dimensionality Reduction named Laplacian Eigenmap is discussed. It turns out that, comparing with Principle Component Analysis (PCA), Laplacian Eigenmap...

The Mesozoic sequence framework of the eastern Yihezhuang salient in Jiyang depression, which was a residual basin, was studied in order to improve the success rate of locating hydrocarbon reservoirs. First, through seismic profiles, well logs and cores, complemented with outcrops, totally 5 sequence...

Aiming at the environment that contains dynamic obstacles, a new multi-robot formation control method is proposed. Leader-Following method is combined with artificial potential field method to solve the poor adaptability of formation. Meanwhile, the robots’ relevant parameters are optimized online by...

For battery and super-capacitor hybrid energy storage system capacity configuration, the hybrid energy storage system multi-objective optimal allocation model is proposed. The optimization goals were economic cost, reliability of power supply,and the balance of supply and demand. The constraints were...

In this paper, a constrained optimization method for various functions such as non differentiable ones based on interval analysis is proposed. The process can be broken down into two distinct parts: the first one that approximates the space satisfying the constraints and the second one that is exclusively...

The accuracy of soil mechanical parameters has an important impact on the numerical simulation results of foundation pit engineering. Since the soil parameters often change during the construction process, the parameters need to be dynamically corrected in order to improve the accuracy of numerical simulation....

Breastfeeding is a natural process in the mother’s reproductive cycle that needs to be maintained for its quality and continuity for 2 years since the baby is born. Postpartum psychological changes and feelings of not being able to breastfeed properly encourage an increase in adrenaline production which...

The output power of wind turbine caused by the variation of wind fluctuates badly, which causes instability of the Power Grid. To smooth the output of wind power to Grid, an Energy Storage System (ESS) solves this problem by absorbing and releasing the wind turbine energy. The smooth performance depends...

Image segmentation plays crucial role in medical image analysis and forms the basis for clinical diagnosis and patient's treatment planning. But the large variation in organ shapes, inhomogeneous intensities, poor contrast, organic nature of textures and complex boundaries in medical images makes...