Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

“…This paper proposes a modified hybrid Nelder-Mead simplex search and particle swarm optimization (M-NM-PSO) method for solving parameter estimation problems. …”
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OPTIMIZING THE PLACEMENT OF A WORK-PIECE AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE WITH VERTICAL MULTI-SPINDLE HEAD by N. N. Guschinski, V. E. Zdanovich, B. M. Rozin

“…To solve this problem the mathematical model and heuristic particle swarm optimization algorithm are proposed. The results of numerical experiments for two real problems of this type are given. …”
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Swarm intelligence–based energy efficient clustering with multihop routing protocol for sustainable wireless sensor networks by Mohamed Elhoseny, R Sundar Rajan, Mohammad Hammoudeh, K Shankar, Omar Aldabbas

“…Initially, improved particle swarm optimization technique is applied for choosing the cluster heads and organizes the clusters proficiently. …”
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Optimal coalition structure generation strategy in multi-task concurrent edge computing environment by Shuxu ZHAO, Ping WEI, Xiaolong WANG

“…A discrete recent past-position updating strategy based m-ary discrete particle swarm optimization (MDPSO-DRPPUS) algorithm was proposed for the problem of large search space and low efficiency when solving the optimal coalition structure.First, the coalition structure with index-based was coded.Then, the multi-objective optimization problem was transformed into an eigenvalue function of the coalition structure.Finally, the optimal coalition structure was searched by using the MDPSO-DRPPUS algorithm.Experiments show that compared with the m-ary discrete particle swarm optimization (MDPSO) algorithm and genetic algorithm (GA), the proposed algorithm dramatically reduces the average running time, and improves the efficiency and equilibrium of the coalition structure and task completion efficiency of edge nodes.…”
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A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm by Yisong Zheng, Xiuguo Zhang, Zijing Shang, Siyu Guo, Yiquan Du

“…Compared with other evolutionary algorithms, the improved cultural particle swarm optimization algorithm has better global convergence. …”
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Scheduling strategy for science workflow with deadline constraint on multi-cloud by Bing LIN, Wenzhong GUO, Guolong CHEN

“…In view of the deadline-constrained scientific workflow scheduling on multi-cloud,an adaptive discrete particle swarm optimization with genetic algorithm (ADPSOGA) was proposed,which aimed to minimize the execution cost of workflow while meeting its deadline constrains.Firstly,the data transfer cost,the shutdown and boot time of virtual machines,and the bandwidth fluctuations among different cloud providers were considered by this method.Secondly,in order to avoid the premature convergence of traditional particle swarm optimization (PSO),the randomly two-point crossover operator and randomly one-point mutation operator of the genetic algorithm (GA) was introduced.It could effectively improve the diversity of the population in the process of evolution.Finally,a cost-driven strategy for the deadline-constrained workflow was designed.It both considered the data transfer cost and the computing cost.Experimental results show that the ADPSOGA has better performance in terms of deadline and cost reducing in the fluctuant environment.…”
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Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm by Mengying Sun

“…In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. …”
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Fault Diagnosis of Transmission Shaft System of Automobile based on VMD and PSO-SVM by Fei Wu, Jun Ding, Suhang Liu, Xiong Lu

“…For the problem that it is difficult to extract fault features of vibration signals of transmission shaft system and the actual situation that it is difficult to obtain a large number of fault samples in fault diagnosis，a fault diagnosis method for transmission shafting based on variational mode decomposition（VMD）sand particle swarm optimization support vector machine （PSO-SVM）is proposed. …”
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Intelligent clustering using moth flame optimizer for vehicular ad hoc networks by Atif Ishtiaq, Sheeraz Ahmed, Muhammad Fahad Khan, Farhan Aadil, Muazzam Maqsood, Salabat Khan

“…Intelligent clustering using moth flame optimization is then proved by relative study with two variants of particle swarm optimization: multiple-objective particle swarm optimization and comprehensive learning particle swarm optimization and a variant of ant colony optimization: ant colony optimization–based clustering algorithm for vehicular ad hoc network. …”
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Unit commitment in microgrid systems using artificial intelligence techniques by Barnabas I. Gwaivangmin, Ganiyu A. Bakare, Ya’U S. Haruna, Abdullahi L. Amoo

“…The study compared three techniques: particle swarm optimization (PSO), Enhanced hybrid particle swarm optimization–ant colony optimization (E-HPSO–ACO), and Enhanced hybrid particle swarm optimization–simulated annealing (E-HPSO–SA). …”
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Balancing Profit and Cultural Heritage: Multi-Objective Dynamic Pricing for Hanfu Using Deep Deterministic Policy Gradient by Qingcong Zhao, Guanghui Mao, Shen Wang

“…MOHPSO-DDPG, Multi-Objective Particle Swarm Optimization (MOPSO), and Multi-Objective Hybrid Particle Swarm Optimization (MOHPSO) were each deployed to interact with the environment to explore the Pareto front of pricing decisions. …”
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Multiobjective Synthesis of Linear Arrays by Using an Improved Genetic Algorithm by Bo Yang

“…The proposed method is compared with real number particle swarm optimization (RNPSO) and quantized particle swarm optimization (QPSO) as applied in the pattern synthesis of a linear thinned array and a digital phased array. …”
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Cement Transport Vehicle Routing with a Hybrid Sine Cosine Optimization Algorithm by Vu Hong Son Pham, Van Nam Nguyen

“…To demonstrate the advantages of the developed hybrid sine cosine algorithm, this algorithm is evaluated and compared with modern algorithms such as sine cosine algorithm, dragonfly algorithm, grey wolf optimizer, ant lion optimizer, particle swarm optimization, modified hybrid particle swarm optimization, genetic algorithm, and the double-population genetic algorithm in case studies. …”
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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model by Yu Wang, Erxia Du, Sanqiang Yang, Li Yu

“…Considering the above characteristics, this study proposes an improved particle swarm optimization of support vector machine (IPSO-SVM) algorithm model, which combines optimized particle swarm optimization (IPSO) and support vector machine (SVM) and applies it to slope stability prediction. …”
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Tooth Profile Modification Method of RV Reducer Cycloid Gear Aiming at Optimizing Carrying Capacity by Zongwen An, Panlong Jia, Qiang Wang, Zhili Li, Mingyuan Lei

“…Cycloid gear tooth profile modification is very important to the performance of RV reducer，in order to select the shape modification method and parameter size reasonably and improve the stress state of the cycloid tooth surface，an equidistant & radical-moving modification method based on particle swarm optimization algorithm to optimize bearing capacity is proposed. …”
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OPTIMIZATION OF MACHINING PARAMETERS BASED ON ADAPTIVE QUANTUM PARTICLE SWARM NETWORKS (MT) by HAN HuiHui, FU Hui

“…For improving the machining quality and wear-resistance of intelligent numerically-controlled（NC） machine technology, and decreasing the production cost, an adaptive quantum particle swarm optimization method for machining parameters was proposed. …”
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Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model by Han Wu, Junwu Wang

“…This study puts forward a method for the waterlogging risk assessment of deep foundation pit projects via the combination of a projection pursuit model, particle swarm optimization, and an interpolation algorithm. …”
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Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition by Xiaoya Hu

“…Finally, a particle swarm optimization BP neural network financial early warning model is established for the shortcomings of the BP network. …”
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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…In this study, a quantum particle swarm optimization-neural network (QPSO-NN) model was built up to predict the corrosion current density in the process of stray current corrosion. …”
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