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Swarm intelligence
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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 1 of ebook "Complex systems and self-organization modelling" provides readers with contents including: Part I - Complex system modelling and methodology; Part II - Swarm intelligence and neuronal learning;...
97p
dongmelo
20-05-2024
3
2
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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 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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Ebook "Swarm intelligence" includes content: Models and concepts of life and intelligence; symbols, connections, and optimization by trial and error; on our nonexistence as entities - the social organism; evolutionary computation theory and paradigms; humans—actual, imagined, and implied;.... and other contents.
541p
haojiubujain07
20-09-2023
7
3
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Part 1 of ebook "Efficient learning machines: Theories, concepts, and applications for engineers and system designers" provides readers with contents including: machine learning; machine learning and knowledge discovery; support vector machines for classification; support vector regression; hidden Markova model; bioinspired computing: swarm intelligence;...
128p
tieulangtran
28-09-2023
6
3
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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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This research work aims at implementing a swarm intelligence based approach for solving complex constrained optimization tasks. The ε Particle Swarm Optimization (ε PSO) is selected as the employed global optimizer. This optimization method is developed in Python to facilitate its implementations. The newly developed program has been tested with two basic design problems in civil engineering.
7p
nhanchienthien
25-07-2023
5
4
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This study investigates the potential use of advanced DM approaches and proposes a meta-heuristic optimization algorithm – based prediction model. This prediction model integrates the artificial firefly colony algorithm and the machine learning prediction model.
5p
vilexus
05-10-2022
8
4
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The obtained results confirm the accuracy, effectiveness, and reliability of the proposed approach in (1) alleviating the differences between measurement and simulation and (2) damage identification including damage location and severity, in the tested beam considering noise effects.
15p
viaudi
29-08-2022
4
2
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The study "Constrained optimization using swarm intelligence integrated with Deb’s feasibility rules developed in Python" utilizes Particle Swarm Optimization (PSO) and Deb’s feasibility rules to construct a method for constrained optimization named as frPSO. PSO is a capable swarm intelligence based metaheuristic and Deb’s feasibility rules is an effective constraint-handling method.
5p
runordie2
06-06-2022
4
0
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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
5
2
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In recent years, financial time series forecasts have become a challenging issue and attracted many researchers. This study develops a novel hybrid model to forecast stock price in Vietnam Stock Exchange. The least squares support vector regression (LSSVR), a machine learning technique, is utilized as a forecast model. A swarm intelligence – firefly algorithm (FA), is applied to optimize hyperparameters of the LSSVR for improving forecast accuracy.
10p
vihassoplattner
07-01-2022
15
3
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In this paper, the status of MOO research and state-of-the-art MOSI algorithms, namely multi-objective particle swarm, artificial bee colony, firefly algorithm, bat algorithm, gravitational search algorithm, grey wolf optimizer, bacterial foraging, and moth-flame optimization algorithms, were reviewed.
41p
spiritedaway36
28-11-2021
13
1
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In the application of microarray data, how to select a small number of informative genes from thousands of genes that may contribute to the occurrence of cancers is an important issue. Many researchers use various computational intelligence methods to analyzed gene expression data.
10p
vikentucky2711
26-11-2020
17
1
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The purpose of this paper is to consider the project scheduling problem under such limited constraint, called Multi-Skill Resource-Constrained Project Scheduling Problem or MS-RCPSP. The algorithm proposed in this paper is to find the optimal schedule, determine the start time for each task so that the execution time (also called makespan) taken is minimal.
12p
koxih_kothogmih5
04-09-2020
15
1
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This manuscript exposes the essential considerations in water management of the applicability of data mining, artificial neural network and swarm of particles techniques, as an input for prediction and planning in the management, using artificial intelligence.
6p
cleopatrahuynh
01-06-2020
11
2
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In the two-coupled distillation column process, keeping the tray temperatures within a specified range around their steady state values assures the specifications for top and bottom product purity. The two-coupled distillation column is a 4 Input/4 Output process. Normally, control engineers decouple the process into four independent loops. They assign a PID controller to control each loop. Tuning of conventional PID controllers is very difficult when the process is subject to external unknown factors.
11p
kethamoi1
20-11-2019
15
0
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