proposed improved pso algorithm (MathWorks Inc)

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MathWorks Inc proposed improved pso algorithm
Proposed Improved Pso Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/improved+pso+algorithm/pm39843598-82-18-39
Average 90 stars, based on 1 article reviews

proposed improved pso algorithm - by Bioz Stars, 2026-10

90/100 stars

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Article Title: Exploring decision-making mechanisms for the metro-based underground logistics system network expansion: An example of Beijing
Article Snippet: In facing “big-city diseases”, using urban underground space to build a stratified transportation system is crucial for the sustainable development of the social economy.. In recent years, underground logistics systems (ULS) receive broad attention but developing a purpose-built ULS in megacities faces difficulties due to high costs and risks.. As a cost-effective alternative, the metro-based ULS (M-ULS) initiatives provide new visions for the citywide underground transport integration of passengers and freight.

Article Title: Crosstalk reduction of integrated optical waveguides with nonuniform subwavelength silicon strips
Article Snippet: The improved PSO algorithm for avoiding local optimization is implemented by MATLAB software.

Article Title: A comparative study of optimization models for the gas detector layout in offshore platform
Article Snippet: The layout of gas detector is an important factor affecting whether hazardous gas can be detected successfully.. However, existing standards only put forward general requirements, and the practical application effect is not satisfying.. In this paper, three p-median optimization models with different objectives have been proposed, including the minimal cumulative detection time model (MCDT), the minimal cumulative leakage concentration model (MCLC), and the minimal cumulative individual risk model (MCIR).

Comparison:

Article Title: A new method for recognizing geometric parameters of industrial robots.
Article Snippet: .. Simulation experiment and result analysis The geometric parameters of the robot were identified by using the proposed improved PSO algorithm in comparison with the basic PSO algorithm, linearly decreasing weights-based PSO (WPSO) algorithm, and hybridization-based PSO (BPSO) algorithm in MATLAB R2016b. ..

Hybridization:

Software:

Article Title: Mutual inductance identification of non-contact excitation system
Article Snippet: .. In order to analyze the performance of the improved PSO algorithm, MATLAB simulation software was used to test its performance. ..

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