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Swarm optimization algorithms
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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 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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Part 2 book "Doubly fed induction generators - Control for wind energy" includes content: Neural network control of wind turbine induction generators, implementation of wind energy testbed, particle swarm optimization for control algorithms, DFIG modeling.
83p
dianmotminh01
17-05-2024
3
1
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This paper investigates the effectiveness of a swarm intelligence algorithm namely the time-varying binary particle swarm algorithm in finding an optimal subset of the breast cancer dataset’s features. After the feature selection phase, an artificial neural network was used for predicting the presence of malignant lesions in female breasts.
8p
viohoyo
25-04-2024
4
1
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The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.
6p
viritesh
02-04-2024
3
1
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Neural network technology has been successfully applied in many business areas. This paper systematic summarizes the applications of neural network technology in supply chain management, which include three areas: optimization , forecasting and decision support. It uses supply chain - specific parameter estimation using supply chain processing techniques to model the optimal network system.
5p
longtimenosee06
27-03-2024
9
2
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This paper presents an optimal parameterization method for the sliding mode control using the BAT algorithm (a type of swarm optimization algorithms). Simulation results and comparisions conventional sliding mode control on a manipulator robot system demonstrate the effectiveness of this approach.
8p
vimichaelfaraday
28-12-2023
11
7
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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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Part 1 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: classical techniques; integer programming; genetic algorithms; scatter search; genetic programming; artificial immune systems; swarm intelligence; tabu search; simulated annealing; GRASP: greedy randomized adaptive search procedures; variable neighborhood search;...
344p
thamnhuocgiai
24-09-2023
6
4
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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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Part 1 book "Evolutionary scheduling" includes content: Memetic algorithms in planning, scheduling, and timetabling; landscapes, embedded paths and evolutionary scheduling; designing dispatching rules to minimize total tardiness; hybrid particle swarm optimizers in the single machine scheduling problem - an experimental study.
282p
oursky03
21-08-2023
10
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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Part 1 of ebook "Logistics management and industrial engineering" presents the following content: a mobile application for knowledge-enriched short-term scheduling of complex products; extended MULTIMOORA method based on Shannon entropy weight for materials selection; a discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain;...
109p
dieptieuung
14-07-2023
7
2
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The paper presents the application of improved Particle Swarm optimization algorithm (IPSO) for solving combined economic and emission load dispatch (CEED) problems where transmission power losses are considered.
7p
vidoctorstrange
06-05-2023
6
3
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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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