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This paper mainly provides one new nature inspired Energy Conversation Optimization (ECO) method to search for the optimal sensor position of sensor network in the typical tunnels, fully covering the tunnel and dynamically locating the high-speed train in the tunnel. Firstly, one objective of this study...

Hexagonally ordered mesoporous silica SBA-15 was successfully synthesized for the first time using natural clay from low-grade potash ores of a salt lake in Qinghai, China, without addition of silica reagents. The influence of changes in processing parameters, such as activation method, hydrothermal...

The mathematical model has been built based on the designation of submersible’s structure. The system parameters of the underwater propulsion submersible have been sorted, calculated and stimulated. The PSO algorithm is used to find the optimal parameters of PID controller to finish feedback control...

The influence of curing temperature on the deformation properties of magnesium oxide(MgO) micro-expansive concrete were studied.Hydration mechanism and expansion characteristics of magnesium oxide(MgO) in cement paste were analyzed by XRD DSC-TG and SEM. Results indicated.Curing temperature had a great...

Multi-depot vehicle routing problem is a NP-hard combinatorial optimization problem. In this paper, we proposed an improved genetic algorithm (GA), which combined GA with fitness-scaling and local search. The experiments compared the proposed approach with standard GA, simulated annealing, Tabu search,...

For the sake of improving green energy-saving efficiency of the radio communication system,we proposed a green energy-saving algorithm for multichannel communication system based on the energy consumption model analysis. Firstly, mathematical model of the multi-channel energy consumption minimization...

The purpose of this research paper is to construct a financial crisis early warning model for Chinese listed companies in the electronic information industry, validate the model based on the collected data, and give corresponding suggestions based on the experimental results. The main research...

An experiment was carried out in the face milling process of AISI 1045 material to determine the levels of the process parameters that could minimize cutting force (CF) and surface roughness (SR) and also maximize material removal rate (MRR) simultaneously. A Taguchi orthogonal array L9 was selected...

An ACO-PSO Hybrid Algorithm Solving Path Planning Problem based on Swarm Intelligence(SI) is proposed. The problem first is described and some corresponding definitions are presented. Ant colony optimization (ACO) is used to establish the corresponding solution, and some material algorithm steps are...

P2P Internet lending has attracted a lot of attention as the most popular and controversial part of Internet finance. As a financial time series, the interest rate of P2P platform shows obvious non-stationary characteristics. So, in order to study the investment interest rate of P2P platform and predict...

In construction engineering management, cost estimation is crucial, but traditional models often lead to inaccurate estimation due to the failure to accurately capture the dynamic cost changes. To this end, we developed a data mining-based model for construction engineering cost estimation, using least...

The evaluation of higher education performance appraisal has been a difficult and hot issue in the field of management research. How to evaluate the level of higher education management, how to judge the effect of higher education reform, and how to make the evaluation results more convincing are all...

In the context of industrialization in the construction industry and the growing focus on carbon neutrality, the sector is rapidly shifting towards sustainability, digitalization, and the application of Artificial Intelligence (AI). This review explores current trends in this transformative landscape,...

Charging and discharging control of centralized charging station becomes more important in power system operation. In order to achieve a load shifting and wind power stabilizing, this paper presents a two-stage optimal scheduling model for centralized charging stations based on the considerations of...

A Discrete Bat Algorithm (DBA) is proposed to solve the assembly sequence planning (ASP) problem. Several key technologies including the position and velocity of Bat Algorithm, corresponding operators for updating the position and the position of local search are redefined. The fitness function is established...

As a new type of energy, coal-bed gas plays an important role in the national resource structure. This paper introduce the principle and process of gas recovery of single coal-bed methane well, according to the analysis of faults occurred in the system of gas recovery of single coal-bed methane well,...

The precise rotating servo system is a nonlinear system and demands on high tracking precision and stabilization, so it is difficult to achieve an ideal control result using PID control strategy. An active disturbance rejection control (ADRC) strategy is presented to guarantee the state variables of...

The Fe doped TiO2 (FET) gels were synthesized by different ferric salts and analyzed by thermal gravimetric analyzer and X-ray diffraction. The TG curves show that the valence states of Fe had a great influence on the preparation of FET gels, Fe3+ was easy to replace titanium atoms to form lattice and...

Unit commitment problem (UCP) is a large scale nonlinear hybrid integer programming problem and it involves determining on/off states of units and generations of units. This paper proposes an improved particle swarm optimization (IPSO) for the solution of UCP. In the proposed approach, the on/off states...

For the structural limit state function with the multiple most probable failure points(MPP) and the multiple most probable failure domains, the reliability computation error generated by the First Order Reliability Method (FORM) or the Second Order Reliability Method (SORM) is unacceptable in some important...

The paper describes a novel adaptive fuzzy logic controller based energy management concept (A-FLC-EM) for a stand-alone photovoltaic (PV) hybrid system with battery and hydrogen storage path. The reference application is a single family home. The basic idea is to switch and optimally adjust the energy...

Complex of cell-THPC-thiourea-ADP with lanthanide metal ions Gd3+ 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...

Aiming at the disadvantage of low accuracy of the photovoltaic maximum power point constant voltage method, a photovoltaic MPPT algorithm based on particle swarm optimization algorithm (PSO)is proposed. Based on the analysis and research of the photovoltaic array maximum power point tracking algorithm,...

Potassium perfluorobutane sulfonate (PPFBS) was used to impart flame retardancy to polycarbonate (PC). The thermal properties of of the PC/PPFBS composites were studied by limiting oxygen index (LOI), vertical burning test (UL-94), TG, and scanning electron microscopy (SEM). The results showed that PC/1wt.%...

To effectively address the issue of lagging utility of safety and civilized construction fee rate standards in current subway engineering projects, this paper proposes establishing a dynamic rate calculation model based on PSO-SVM to accurately determine the actual rates. Initially, the study conducts...

Currently, most of multi-objective problems in power systems are changed into a single objective problem by weighting. This paper adopts Pareto front to solve the multi-objective problems in power systems. In order to solve this problemeffectively, we present the particle swarm optimization(PSO) algorithm....

The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in an acceptable classification accuracy. Therefore, a good feature selection method based...

This paper proposes the combination of Swarm Intelligence algorithm of artificial bee colony with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee Colony (HABC). This algorithm is applied to improve virtual machines scheduling solution for cloud computing within homogeneous...

TG/DTG was applied to study the overall kinetics for the reduction of pyrolusite by the mixture of cellulose and lignin, two major components of biomass. The respective reduction processes can be described by a new empirical equation based on the JMA equation, and the apparent activation energy is 38.66...

The main work of this thesis is to study and discuss flame retardant properties of the flexible polyurethane foam (FPUF) added with borax as flame retardant. The flammability parameters, including limiting oxygen index(LOI), rate of heat release (RHR), total heat release (THR), total mass loss (TML)...

System reliability allocation is an important ingredient in system reliability design, and it is also a decision-making issue of reliability engineering. To achieve the optimization of system reliability allocation, an optimization model for system reliability allocation, which takes the system cost...

Montmorillonite as flame retardant was used to flexible poly (vinyl chloride) (PVC), and the flame retardant and smoke suppressant properties of PVC were investigated by the limiting oxygen index, smoke density rating, and cone calorimeter tests (CONE), the thermal degradation behaviors of PVC were studied...

Parameter optimization of Support Vector Machine (SVM) is an important research problem, because it is critical for establishing an effective SVM with excellent generalization. This study develops a novel and efficient method to solve this problem by nesting two particle swarm optimization (PSO) algorithms...

Slope instability leads to significant global economic losses annually. To evaluate slope stability swiftly and precisely, ensuring the safety of slope engineering. The GA-HIDMS-PSO-SVM algorithm is introduced to develop a slope stability prediction model. Six typical slope parameters, including bulk...

In the era of Industrial Revolution 4.0, the revolution of Internet of Things (IoT) is massively evolving in bringing new themes into life. This area involves intelligent transportation, smart housing, smart mobility, and smart health. The development of smart cities is being powered by this transition,...

Aiming to problem how to discover service which user wants in cloud computing situation, using method of modeling and theoretical analysis, an improved PSO (particle swarm optimization) algorithm is designed to handle this problem. Though theoretical derivation, the correctness of improved PSO algorithm...

Addressing the challenge of optimal-time trajectory planning for a STEP SD7/700 robotic manipulator subject to joint constraints, traditional interpolation methods suffer from low efficiency, while conventional PSO algorithms are prone to premature convergence, resulting in suboptimal trajectory planning...

This paper proposes a shuffled sub-swarms particle optimizer algorithm (SSPSO) to enhance the diversity of particles in the swarm to improve the performance of PSO. SSPSO is tested with a series of benchmark functions and compared with other version PSO algorithms. Experimental results show that SSPSO...

Coal ash as flame retardant was used to flexible poly (vinyl chloride) (PVC), and the flame retardant and smoke suppressant properties of PVC were investigated by the limiting oxygen index, smoke density rating, and cone calorimeter tests (CONE), the thermal degradation behaviors of PVC were studied...

In recent years, automatic control system have assumed an increasingly important role in the development and advancement of modern civilization and technology. PID controller is the most popular in the automatic system. The setting and optimization of PID parameters are always the important study topics...

The frontal impact waveform is of great significance for occupant protection and automobile safety. According to the structure of the front engine room of the vehicle, a SUV frontal crash waveform is simplified by the simulation. The sensitivity analysis of the waveform characteristic parameters was...

In modern power systems, achieving optimal economic load dispatch (ELD) is essential for reducing operational costs while maintaining system reliability. The study addresses the classical ELD problem considering valve-point loading effects (VPE), which introduce non-convexity and ripples into the fuel...

In model of multi- hop wireless sensor networks, if a cluster head is more close to the sink, it will have much more transmitting tasks, therefore a head more close by the sink will consume much more energy. A new mobile sink protocol based on Particle Swarm Optimization (PSO) algorithm is proposed.The...

In order to identify the multiple damage of the structure, this paper presents a method of structural damage identification based on wavelet analysis and particle swarm optimization(PSO). Firstly, analyzing dynamic characteristics of the finite element model to obtain the strain mode, then continuous...

The parameters of traditional particle swarm optimization (PSO) methods are unchangeable, which may lead to the iterations have slow convergence speed or unable to converge to global optimum. In this paper, improved PSO algorithm is applied to the coverage of video sensor network. Through improving inertia...

Effects of annealing on structural evolution and microhardness of Zr50Cu40-xAl10Pdx (x=0-15) bulk metallic glasses (BMGs) and composites were investigated using X-ray diffraction (XRD) and micro-hardness analysis. The glass transition temperature Tg and the crystallization temperature Tx of Zr50Cu40-xAl10Pdx...

Specifically, the ‘hadhanah’ rights of children impacted by parental divorce are the subject of this research, which analyzes case number 300/Pdt.G/2022/PA. Tg. to demonstrate how Law no. 35 of 2014 concerning Child Protection controls and protects these rights. As part of this initiative, we will examine...

Robot path planning is an important content in the field of robot research. Robot Path Planning is a typical multi-objective optimization problem. The path length, the degree of path smoothness and the degree of security are the optimization objectives in this work. And an improved multi-objective PSO...

For the low efficiency problem and the search domain widely in UAV trajectory planning, the gradient search is innovated in the traditional particle swam optimal (PSO) algorithm, then a new gradient particle swam optimization algorithm is designed by neighboring group optimization guiding population...

Distribution network reconfiguration is an important tool to optimize the operating conditions of a distribution network. Niche Binary Particle Swarm Optimization (NBPSO) Algorithm is proposed to overcome the defect of PSO prematurity for distribution network reconfiguration. In view of distribution...