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PSO algorithm
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Bài viết trình bày một phương pháp thiết kế bộ điều khiển mờ theo mô hình Sugeno (FLC-sugeno) tối ưu cho hệ thống giảm chấn tích cực. Các tham số của bộ điều khiển được xem xét một cách tổng thể và được tìm kiếm tối ưu bằng thuật toán PSO (Particle Swarm Optimization algorithm).
9p
viambani
18-06-2024
2
1
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In recent years, we have experienced rapid and beneficial development of IoT solutions throughout all aspects of life. In addition to the apparent advantages, the increased number and variety of devices have resulted in more security issues.
13p
viamancio
04-06-2024
0
0
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In this paper, we adopted a new adaptive nonlinear weight update strategy based on fitness value and new neighborhood topology for Particle Swarm Optimization algorithm, thereby helping to prevent PSO from falling into local extremes.
16p
viamancio
04-06-2024
2
0
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Nghiên cứu này nhằm giới thiệu và đánh giá hiệu quả tính toán tối ưu bài toán khung giàn thép không gian của thuật toán mô phỏng nổi tiếng là thuật toán đom đóm (Firefly Algorithm - FA), thuật toán PSO (Particle Swarm Optimisation) và thuật toán lai tạo giữa PSO và FA, được ký hiệu là HFPSO.
9p
vigojek
02-02-2024
8
2
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This paper develops a new method based on hedge algebra, which is an approach that has never been implemented on an IDS system. We use the PSO swarm optimization algorithm to optimize the parameters in the proposed model.
9p
vispacex
16-11-2023
3
2
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This paper introduces the application of the standard Particle Swarm Optimization (PSO) algorithm with discrete integer variables to solve the problem of optimizing the position of tower cranes and material supply points.
10p
visharma
20-10-2023
6
3
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Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets. From the relevant literature, a credible database encompassing 242 test specimens was developed, along with six input factors that primarily determine bond strength.
12p
visharma
20-10-2023
9
5
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In the paper, a black knifefish-inspired robot with an elongated undulating fin is investigated for locomotion control using an improved CPG model. The proposed CPG network has sixteen fin rays connected Hopf oscillators for creating fish-like swimming gaits. To identify a set of optimal parameters for the modified CPG network, mutant particle swarm optimization (MPSO), an improved form of particle swarm optimization (PSO), is introduced.
9p
giangnhanly
02-10-2023
12
5
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In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.
19p
vimurdoch
18-09-2023
7
4
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Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.
12p
viberkshire
09-08-2023
8
4
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The study will present a particle swarm optimization (PSO) algorithm-based offloading scheme to address the identified problems. The numerical simulations presented in this paper will indicate that our proposal is more efficient than that of the previous proposal.
6p
viannee
02-08-2023
7
4
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Trong bài viết "Phát triển giải thuật lai có sử dụng học máy để giải bài toán định tuyến xe Vehicle routing problems (VRP)" này sẽ đề xuất một sự kết hợp kỹ thuật Học máy Machine Learning ML với một giải thuật lai để giải quyết bài toán VRP, mà giải thuật lai này có được là sự phối hợp giữa giải thuật Tối ưu bầy đàn PSO và giải thuật Di truyền Genetic Algorithm GA.
12p
phuong3128
23-06-2023
8
5
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This paper proposes a method for determining the optimal coefficients of current controllers using Particle Swarm Optimization (PSO) algorithm. The proposed method does not require much time, strength, and experience of designers.
8p
vidoctorstrange
06-05-2023
2
2
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In this study, we propose a hybrid method encompassing PFCM and improved Cuckoo search to form the proposed PFCM-ICS. The proposed method has been evaluated on 4 data sets issued from the UCI Machine Learning Repository and compared with recent clustering algorithms such as FCM, PFCM, PFCM based on particle swarm optimization (PSO), PFCM based on CS.
13p
visirius
19-01-2023
12
4
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In this paper we combine Hedge Algebras (HA) with Particle swarm optimization (PSO) to build fuzzy time series model for forecasting time series. The time series need forecasting is converted into a fuzzy time series, HA is used to quantify the linguistic terms which are the values of the fuzzy time series.
6p
visherylsandberg
18-05-2022
15
2
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This study suggests a new metaheuristic algorithm for global optimization, based on parallel hybridizing the swarm optimization (PSO) and Gravitational search algorithm (GSA). Subgroups of the population are formed by dividing the swarm’s community. Communication between the subsets can be developed by adding strategies for the mutation. Twenty-three benchmark functions are used to test its performance to verify the feasibility of the proposed algorithm.
11p
linyanjun_2408
21-04-2022
19
3
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Researching and building a method for testing and adjusting the strapdown inertial navigation system
In the article, a method of displaying SINS data on a digital map is proposed. Furthermore, the article also proposes a method to assess the influence of misalignment angles on the navigation accuracy and how to estimate and correct them.
8p
vikissinger
03-03-2022
11
1
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This paper will study a new method to solve the MS-RCPSP problem based on the Particle Swarm Optimization (PSO) algorithm that is called R-PSO. The new improvement of R-PSO is re-assigning the resource to execute solution tasks. To evaluate the new algorithm's effectiveness, the paper conducts experiments on iMOPSE datasets.
12p
vikissinger
03-03-2022
6
2
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The paper has proposed an adaptive filter using particle swarm optimization algorithm (PSO) and its application to cancelled white noise. This is a new method to obtain signals with higher quality than previous adaptive filter methods such as Least Mean Squares (LMS) filter, Normalized Least Mean Square method (NLMS).
3p
viericschmid
12-01-2022
8
0
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This paper proposes a cluster based PSO feature construction approach called ClusPSOFC. The Redundancy-Based Feature Clustering (RFC) algorithm was applied to choose the most informative features from the original data, while PSO was used to construct new features from those selected by RFC.
34p
spiritedaway36
28-11-2021
6
1
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