Relevant bibliographies by topics / Particle Swarm Algorithm (PSA) / Dissertations / Theses
To see the other types of publications on this topic, follow the link: Particle Swarm Algorithm (PSA).

Dissertations / Theses on the topic 'Particle Swarm Algorithm (PSA)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Particle Swarm Algorithm (PSA).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

SINGH, BHUPINDER. "A HYBRID MSVM COVID-19 IMAGE CLASSIFICATION ENHANCED USING PARTICLE SWARM OPTIMIZATION." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18864.

Full text
Abstract:
COVID-19 (novel coronavirus disease) is a serious illness that has killed millions of civilians and affected millions around the world. Mostly as result, numerous technologies that enable both the rapid and accurate identification of COVID-19 illnesses will provide much assistance to healthcare practitioners. A machine learning- based approach is used for the detection of COVID-19. In general, artificial intelligence (AI) approaches have yielded positive outcomes in healthcare visual processing and analysis. CXR is the digital image processing method that plays a vital role in the a
APA, Harvard, Vancouver, ISO, and other styles
2

Wilke, Daniel N. "Analysis of the particle swarm optimization algorithm." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-01312006-125743.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sholedolu, Michael O. "Nature-inspired optimisation : improvements to the Particle Swarm Optimisation Algorithm and the Bees Algorithm." Thesis, Cardiff University, 2009. http://orca.cf.ac.uk/55013/.

Full text
Abstract:
This research focuses on nature-inspired optimisation algorithms, in particular, the Particle Swarm Optimisation (PSO) Algorithm and the Bees Algorithm. The PSO Algorithm is a population-based stochastic optimisation technique first invented in 1995. It was inspired by the social behaviour of birds flocking or a school of fish. The Bees Algorithm is a population-based search algorithm initially proposed in 2005. It mimics the food foraging behaviour of swarms of honey bees. The thesis presents three algorithms. The first algorithm called the PSO-Bees Algorithm is a cross between the PSO Algori
APA, Harvard, Vancouver, ISO, and other styles
4

Sallama, Abdulhafid Faraj. "Multi particle swarm optimisation algorithm applied to supervisory power control systems." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/10195.

Full text
Abstract:
Power quality problems come in numerous forms (commonly spikes, surges, sags, outages and harmonics) and their resolution can cost from a few hundred to millions of pounds, depending on the size and type of problem experienced by the power network. They are commonly experienced as burnt-out motors, corrupt data on hard drives, unnecessary downtime and increased maintenance costs. In order to minimise such events, the network can be monitored and controlled with a specific control regime to deal with particular faults. This study developed a control and Optimisation system and applied it to the
APA, Harvard, Vancouver, ISO, and other styles
5

Maripi, Jagadish Kumar. "AN EFFECTIVE PARALLEL PARTICLE SWARM OPTIMIZATION ALGORITHM AND ITS PERFORMANCE EVALUATION." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/275.

Full text
Abstract:
Population-based global optimization algorithms including Particle Swarm Optimization (PSO) have become popular for solving multi-optima problems much more efficiently than the traditional mathematical techniques. In this research, we present and evaluate a new parallel PSO algorithm that provides a significant performance improvement as compared to the serial PSO algorithm. Instead of merely assigning parts of the task of serial version to several processors, the new algorithm places multiple swarms on the available nodes in which operate independently, while collaborating on the same task. W
APA, Harvard, Vancouver, ISO, and other styles
6

Phung, Nhu Kien <1987&gt. "Optimization of an HVAC system with a particle swarm optimization algorithm." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8062.

Full text
Abstract:
This paper addresses the issues of energy consumption reduction in existing buildings while providing comfort levels for inhabitants. Beside, representing an information-driven for the advancement of an HVAC(heating, ventilation, and air conditioning) system in an office building. The core of this work will be the application on a real case study (an office building) in which the mentioned objectives depend on a set of independent and control variables such as internal temperature, humidity, and the presence of people. In particular, this research will find the best configurations of the cont
APA, Harvard, Vancouver, ISO, and other styles
7

Harrison, Kyle Robert. "An Analysis of Parameter Control Mechanisms for the Particle Swarm Optimization Algorithm." Thesis, University of Pretoria, 2018. http://hdl.handle.net/2263/66103.

Full text
Abstract:
The particle swarm optimization (PSO) algorithm is a stochastic, population-based optimization technique influenced by social dynamics. It has been shown that the performance of the PSO algorithm can be greatly improved if the control parameters are appropriately tuned. However, the tuning of control parameter values has traditionally been a time-consuming, empirical process followed by statistical analysis. Furthermore, ideal values for the control parameters may be time-dependent; parameter values that lead to good performance in an exploratory phase may not be ideal for an exploitative phas
APA, Harvard, Vancouver, ISO, and other styles
8

Silwal, Shrawani. "A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1588198872893409.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wilke, Daniel Nicolas. "Analysis of the particle swarm optimization algorithm." Diss., 2005. http://hdl.handle.net/2263/26201.

Full text
Abstract:
Increasing prominence is given to the role of optimization in engineering. The global optimization problem is in particular frequently studied, since this difficult optimization problem is in general intractable. As a result, many a solution technique have been proposed for the global optimization problem, e.g. random searches, evolutionary computation algorithms, taboo searches, fractional programming, etc. This study is concerned with the recently proposed zero-order evolutionary computation algorithm known as the particle swarm optimization algorithm (PSOA). The following issues are address
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Shiau-Kai, and 陳孝楷. "Multimodal Engineering Optimization Using Particle Swarm Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/73488226343982594528.

Full text
Abstract:
碩士<br>淡江大學<br>機械與機電工程學系碩士班<br>98<br>A theoretical hypothesis was made by the inspiration of searching food and flying behaviors of bird colony, a synchronous searching algorithm solving multiple local optimums has been developed in this thesis. Individual bird is defined as a particle without the mass and volume. Such a group particles together food searching with a suitable algorithm is particle swarm optimization (PSO). Multiple food locations corresponding to multiple local optimums can be obtained by multiple population of birds’ colonial parallel search. A niche strategy used on genetic a
APA, Harvard, Vancouver, ISO, and other styles
11

Kao, Yi-Chun, and 高逸群. "Using Particle Swarm Optimization Algorithm for Ontology Matching." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/53501924300160179574.

Full text
Abstract:
碩士<br>雲林科技大學<br>資訊管理系碩士班<br>96<br>There are many natural phenomena that imply a high degree of wisdom. People simulate biological patterns of behavior to solve the dynamic complex problem. Particle swarm optimization (PSO) algorithm simulates the behavior patterns of foraging in bird populations to get approximate optimum solution. Ontology can clearly describe the concept and structure of knowledge, and the expression of specific knowledge can be fully utilized. However, knowledge of the analysis and define will vary from person to person. If users want to use other''s ontology or extend the
APA, Harvard, Vancouver, ISO, and other styles
12

Lin, Yu-shu, and 林玉書. "Structural topology optimization using particle swarm optimization algorithm." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/64821925349729675667.

Full text
Abstract:
碩士<br>大同大學<br>機械工程學系(所)<br>97<br>The particle swarm optimization (PSO) algorithm, a relatively recent bio-inspired approach to solve combinatorial optimization problems mimicking the social behavior of birds flocking, is applied to problems of continuum structural topology design. An overview of the PSO and binary PSO algorithms are first described. A discretized topology design representation and the method for mapping binary particle into this representation are then detailed. Subsequently, modified binary PSO algorithm and logic binary PSO algorithm adopt the concept of genotype-phenotype r
APA, Harvard, Vancouver, ISO, and other styles
13

Li, Tsung-Tse, and 李宗澤. "A Reciprocative Exploration Algorithm for Particle Swarm Optimization." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/00038339271138339318.

Full text
Abstract:
碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>95<br>Abstract The purpose of this thesis is to improve the Particle Swarm Optimization (PSO) with a dodge point method. PSO is an evolutionary algorithm introduced by Kennedy and Eberhart [1, 2] in 1995, which emulates social behavior of flock of bird to solve optimization problems. PSO is one of best algorithm in fast convergence and optimization quality, and still been improving and researching recently. However, because PSO has fast convergence, it will easily return a local optimum in complex optimization problem. Therefore, this thesis introduces reciprocative
APA, Harvard, Vancouver, ISO, and other styles
14

Wang, Ya-shyan, and 王雅賢. "Research on a Modified Particle Swarm Optimization Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/62188914837148750779.

Full text
Abstract:
碩士<br>中原大學<br>資訊管理研究所<br>94<br>Particle Swarm Optimization (PSO), an algorithm with the concept of swarm intelligence, also a new branch in evolutionary computing, possesses the merits of fast converging, as well as the simplification in parameter setting. Nevertheless, PSO has the demerit of the inclination to trap into local optima because when particles move, they merely follow pbest and gbest .Although the standard PSO algorithm and other modified algorithms has attempted to enhance the efficiency in utilizing a swarm to search global best, they still fail in avoiding particles falling int
APA, Harvard, Vancouver, ISO, and other styles
15

Freire, Hélio Alves. "Many-objective optimization with particle swarm optimization algorithm." Doctoral thesis, 2017. http://hdl.handle.net/10348/7424.

Full text
Abstract:
Tese de Doutoramento em Engenharia Eletrotécnica e de Computadores<br>Muitos dos problemas de optimização envolvem diversos objectivos sujeitos a algumas restrições e que devem ser considerados simultaneamente. Ao contrário dos problemas uni-objectivo em que se procura a solução óptima global, a resolução dos problemas com múltiplos objectivos dão origem a um conjunto de soluções, chamado frente de Pareto. Nas últimas duas décadas os algoritmos evolutivos conjuntamente com o princípio da dominância de Pareto têm demonstrado uma grande capacidade para obter um conjunto de soluções próximas da f
APA, Harvard, Vancouver, ISO, and other styles
16

Yu, Meng-Yi, and 游孟怡. "Particle Swarm Optimization Algorithm Applied to Antenna Design." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/96748032333866295181.

Full text
Abstract:
碩士<br>國立中央大學<br>通訊工程學系在職專班<br>102<br>Electromagnetic simulation software in microwave and antenna is very important, can be very accurate analysis of complex microwave circuit and the antenna, the general analog design, the designer only repeated tuning parameters to obtain the simulation results, it is time-consuming and labor . Particle swarm optimization (Particle Swarm Optimization, PSO) can search for global optimum, with optimized properties, applied to electromagnetic simulation software IE3D or HFSS, in accordance with the specification requirements of wireless communications antennas,
APA, Harvard, Vancouver, ISO, and other styles
17

Tsai, Tsung-Han, and 蔡宗翰. "Applying Particle Swarm Optimization Algorithm to Roundness Measurement." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/5a6c4j.

Full text
Abstract:
碩士<br>國立臺北科技大學<br>工業工程與管理系所<br>94<br>Roundness measurement has been a crucial issue of quality control in industry. This study proposes a machine vision-based roundness measuring method that applies Particle Swarm Optimization Algorithm (PSO) for computing the roundness measurement of maximum inscribing circle (MIC), minimum circumscribing circle (MCC) and minimum zone circle (MZC). This study first conducted an extensive study for five PSO models, in which the impact of inertia weight, maximum velocity and the number of particles on the performance of the particle swarm optimizer was analyzed
APA, Harvard, Vancouver, ISO, and other styles
18

Prasain, Hari. "A Parallel Particle Swarm Optimization Algorithm for Option Pricing." 2010. http://hdl.handle.net/1993/4033.

Full text
Abstract:
Financial derivatives play significant role in an investor's success. Financial option is one form of derivatives. Option pricing is one of the challenging and fundamental problems of computational finance. Due to highly volatile and dynamic market conditions, there are no closed form solutions available except for simple styles of options such as, European options. Due to the complex nature of the governing mathematics, several numerical approaches have been proposed in the past to price American style and other complex options approximately. Bio-inspired and nature-inspired algori
APA, Harvard, Vancouver, ISO, and other styles
19

Wu, Wei-you, and 吳威佑. "Study on the Improvement of Particle Swarm Optimization Algorithm." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/6ygrk4.

Full text
Abstract:
碩士<br>國立高雄第一科技大學<br>系統資訊與控制研究所<br>96<br>In this study, we proposed two kinds of improved particle swarm optimization (PSO) Algorithms, named improved particle swarm optimization (IPSO) and sliding levels particle swarm optimization (SLPSO), respectively. The algorithms are applied to solve the benchmark single-multi function of problems, which make experiments on the characteristics of variant PSO and the effect of the differences between the proposed IPSO and SLPSO algorithms. We also utilize Taguchi method, which has the excellently experienced ability of inference and the analysis of varian
APA, Harvard, Vancouver, ISO, and other styles
20

ping, chen cho, and 陳卓平. "Designing an Efficient General-purpose Particle Swarm Optimization Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/6wqt78.

Full text
Abstract:
碩士<br>國立交通大學<br>資訊學院碩士在職專班資訊組<br>95<br>Solving optimization problems is an important issue in many research domains. Evolutionary computation is one efficient method to solve optimization problems and particle swarm optimization (PSO) is a newly-developed algorithm of evolutionary computation. Generally speaking, the customized algorithm using expert experience can more efficiently solve specific optimization problems. However, the most researchers of solving optimization problems often have knowledge of application domains but not ability of developing the algorithm. This study aims to develo
APA, Harvard, Vancouver, ISO, and other styles
21

Chia-Hao, Kang, and 康家豪. "Elementary School Timetabling System Using Particle Swarm Optimization Algorithm." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/66680102731671231430.

Full text
Abstract:
碩士<br>臺北市立大學<br>數學資訊教育學系數學資訊教育教學碩士學位班<br>102<br>Scheduling the school timetable has been a difficulty of elementary administrative work. To match teacher’s expectation and timetabling restrictions, administrators of educational affair need to spend a lot of time to cope with the timetabling. Administrators are stressed since they cannot satisfy every teacher with the prerequisite. Nevertheless, the problem of timetabling is Nondeterministic polynomial time complete (NP-Complete) problem and those systems could not be verified in polynomial time. Therefore, these invented systems still have lim
APA, Harvard, Vancouver, ISO, and other styles
22

Yan-Hung, Lai, and 賴彥宏. "Particle Swarm Optimization Algorithm Analysis for Traveling Salesman Problem." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/96728729876384196653.

Full text
Abstract:
碩士<br>國立勤益科技大學<br>電子工程系<br>101<br>Traveling salesman problem (TSP) is a complex problem and has been confirmed to be non-deterministic polynomial (NP) complete combinatorial optimization problem. Particles Swarm Optimization (PSO) is an effective and efficient method which is an evolutionary method and has been successfully applied in solving a variety of hard optimization problems. In this paper, particle swarm optimization search algorithm proposed hybrid architecture in traditional architectures, and its proposed insertion method into the PSO algorithm’s initial solutions , and explained
APA, Harvard, Vancouver, ISO, and other styles
23

Tsai, Hsien-wen, and 蔡憲文. "Improvement of Acceleration Coefficients on Particle Swarm Optimization Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/78532997944642381207.

Full text
Abstract:
碩士<br>國立中央大學<br>電機工程研究所<br>98<br>In order to improve the performance of Particle Swarm Optimization (PSO) algorithm and to overcome the difficulty of selecting the appropriate acceleration coefficients, this thesis proposes an improved algorithm based on adaptive-fuzzy PSO algorithm [5], TIME-VARYING Particle Swarm Optimization, called TV-PSO. First, an adaptive-fuzzy PSO is adapted to generate the curves of the acceleration coefficients versus the differences between the consecutive values of two consecutive fitness functions. Then, each curve is simplified to three line segments to present t
APA, Harvard, Vancouver, ISO, and other styles
24

Su, En-ping, and 蘇恩平. "Ambiguous Keyboard Arrangement Optimization Using a Particle Swarm Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/88110529876258389386.

Full text
Abstract:
碩士<br>國立暨南國際大學<br>資訊管理學系<br>95<br>Everyone almost has a personal computer at home in the developed science and technology of society. And someone also go out with a notebook or cell-phone. In these devices, they all have one same characteristic which has a keyboard as an inputting data device. It’s generally speaking that the better or not on the keyboard arrangement would have influences on typing speed of users and makes users feel tired easily. Up to now, there are many scholars engaged in such kind of research, but it still has no one using the particle swarm optimization algorithm to solv
APA, Harvard, Vancouver, ISO, and other styles
25

CHANG, HSIAO-FEN, and 張曉芬. "Automated University Timetabling System Using Particle Swarm Optimization Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/68789442582501617506.

Full text
Abstract:
碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>98<br>Scheduling and course planning in any kind of school and university require tremendous efforts to fulfill many constraints without conflicts. In course timetabling, the scheduler determines the day and time to offer each section of each course. The objective is normally to find a course timetable that minimizes the number of (potential) student conflicts while respecting teacher, room and equipment restrictions. The problem of developing schedules for course timetabling has been modeled as a particle swarm group optimization problem. To avoid cluster searchi
APA, Harvard, Vancouver, ISO, and other styles
26

Chiu, Yu-Ting, and 邱宇婷. "Applying Particle Swarm Optimization algorithm in Association Rule Mining." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/myjy92.

Full text
Abstract:
碩士<br>國立臺北科技大學<br>工業工程與管理系所<br>94<br>With the development of information technology (IT), how to find useful information existed in vast data has become an important issue. The most broadly discussed technique is Data-mining, which has been successfully applied to many fields as analytic tool. Data mining extracts implicit, previously unknown, and potentially useful information from data. Association rule is one of the most important and useful technologies in data mining methods. Association rule summarizes meaningful relations among items, and this technology is typically applied to basket a
APA, Harvard, Vancouver, ISO, and other styles
27

Kao, Yu-Zhong, and 高毓鍾. "The Cooperation Mechanism based on Particle Swarm Optimization Algorithm and Genetic Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/30223174927244070713.

Full text
Abstract:
碩士<br>國立高雄海洋科技大學<br>輪機工程研究所<br>100<br>In this paper, a cooperation mechanism based on particle swarm optimization algorithm and genetic algorithm is investigated. The proposed algorithm reduces the possibility for minimum phenomenon of the traditional intelligent algorithm and increases the computing efficiency. Particle swarm optimization and the continuous real number genetic algorithm are provides the advantages to each other under the proposed cooperation mechanism. There are three benchmark problems that used to verify the effect of the proposed cooperation mechanism with numerical simula
APA, Harvard, Vancouver, ISO, and other styles
28

Hong, Ci-Wei, and 洪齊尉. "Integration of Genetic Algorithm and Particle Swarm Optimization Algorithm for Portfolio Optimization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/nhvj26.

Full text
Abstract:
碩士<br>國立臺北科技大學<br>工業工程與管理研究所<br>97<br>In the investment market, investors concern greatly about investment target selection and asset allocation under the risk of investment market. Therefore, this research applies soft computing methods to develop a two-stage portfolio method. The first stage utilize a Data Envelopment Analysis (DEA) - CCR model to develop a model of funds selection, with the second stage integrates Genetic Algorithm (GA) and Particle Swarm Optimization Algorithm (PSO) to develop two method, GPSO1 and GPSO2, for assets allocation. The experiments were conducted by using the T
APA, Harvard, Vancouver, ISO, and other styles
29

Lakshmipathy, Sathish Kumar. "VHTR Core Shuffling Algorithm Using Particle Swarm Optimization ReloPSO-3D." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-11188.

Full text
Abstract:
Improving core performance by reshuffling/reloading the fuel blocks within the core is one of the in-core fuel management methods with two major benefits: a possibility to improve core life and increase core safety. VHTR is a hexagonal annular core reactor with reflectors in the center and outside the fuel rings (3-rings). With the block type fuel assemblies, there is an opportunity for muti-dimensional fuel bocks movement within the core during scheduled reactor refueling operations. As the core is symmetric, by optimizing the shuffle operation of 1/6th of the core, the same process can be
APA, Harvard, Vancouver, ISO, and other styles
30

Teng, Yung-Chi, and 鄧永亟. "Optimization of High Speed Milling Using Particle Swarm Optimization Algorithm." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/59416979743498987494.

Full text
Abstract:
碩士<br>大同大學<br>機械工程學系(所)<br>93<br>In this investigation the main goal is discussing the cutting parameters affecting the surface roughness variable when using the ball-end mill to machining the free curves at a high speed. The Abductive Networks is used to establish the model of the roughness and based on this model to discuss the effects of every cutting parameter on the surface roughness variable under the different machining conditions. The experimental results show that this mathematical model is very suitable for the investigation. The experimental scheme is selected to plan the experimen
APA, Harvard, Vancouver, ISO, and other styles
31

Tsai, Kuei-Su, and 蔡貴夙. "Using The Particle Swarm Algorithm to Optimize The PID controller." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/65978168224120281013.

Full text
Abstract:
碩士<br>龍華科技大學<br>機械系碩士班<br>93<br>In this paper, the particle swarm algorithm (PSO), a new nature-inspired optimization technique; therefore, is used to search for the parameters of PID controllers. Through the search period, the system performance of the time response is evaluated by the fitness function that is computed via the ISE (Integral Square-Error), IAE (Integral Absolute-Error), or ITAE (Integral-of-time-multiplied Absolute-Error). In addition, the optimization results of the PID controller by the particle swarm algorithm are compared with those by the Genetic Algorithm. The results
APA, Harvard, Vancouver, ISO, and other styles
32

Shiau, Fang-Jr, and 蕭方智. "Developing a Hierarchical Particle Swarm based Fuzzy Decision Tree Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/38520035342800327252.

Full text
Abstract:
碩士<br>元智大學<br>工業工程與管理學系<br>93<br>Decision tree is one of most common techniques for classification problems in data mining. Recently, fuzzy set theory has been applied to decision tree construction to improve its performance. However, how to design flexile fuzzy membership functions for each attribute and how to reduce the total number of rules and improve the classification interpretability are two major concerns. To solve the problems, this research proposes a hieratical particle swarm optimization to develop a fuzzy decision tree algorithm (HPS-FDT). In this proposed HPS-FDT algorithm, all
APA, Harvard, Vancouver, ISO, and other styles
33

Shu-Yu, Lin, and 林書宇. "Query-based Learning Particle Swarm Optimization Algorithm for Green Computing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/r5v63g.

Full text
Abstract:
博士<br>國立臺灣大學<br>工程科學及海洋工程學研究所<br>103<br>Particle swarm optimization (PSO) is one of the most important research topics on swarm intelligence. Existing PSO techniques, however, still contain some significant disadvantages. We present a novel QBL-PSO algorithm that uses QBL (query-based learning) to improve both the exploratory and exploitable capabilities of PSO. Two ways for invoking the QBL are introduced, QP-CR and QP-SR. Here, we apply a QBL method proposed in our previous research to PSO, the new algorithm is first verified through several optimization testing functions. And later on, two
APA, Harvard, Vancouver, ISO, and other styles
34

Ma, Ming-You, and 馬銘佑. "Application of Particle Swarm Algorithm in Synchronous Linear Motor Control." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/76377361075178568403.

Full text
Abstract:
碩士<br>國立彰化師範大學<br>機電工程學系<br>98<br>In this thesis the main goal of using Particle Swarm Optimization (PSO) to search PID control parameters is discussed. The algorithm introduces a linear decreasing inertia weight for balancing the local and global search ability. The optimal PID control parameters are found by PSO with step signal, trapezoidal and cycloid signals respectively for heavy oscillated system. The synchronous linear servo motor is implemented based on PSO application via the Matlab/Simulink RTW system. The system positioning can be robust and precise by using PSO for PID controller.
APA, Harvard, Vancouver, ISO, and other styles
35

Huang, Shih-Yu, and 黃仕育. "Development of Self-adaptive Guarantee Convergence Particle Swarm Optimization Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/34038622814330665610.

Full text
Abstract:
碩士<br>元智大學<br>工業工程與管理學系<br>99<br>This paper proposes a variant of particle swarm optimization (PSO) with no need of time-consuming fine-parameter adjustment. PSO is considered as an efficient and effective algorithm with simple structure which has been widely discussed and a lot of PSO variants have been suggested to improve PSO performance. However, for almost all these PSO variants, one major mystery is to find out the most appropriate setting of parameters. Since parameter-tuning is inevitable and takes lots of computational time and analysis work, it always becomes a bottleneck of condu
APA, Harvard, Vancouver, ISO, and other styles
36

Lian, Jia-Yu, and 練家妤. "Application of Particle Swarm Optimization Algorithm to Adjust the Watermark." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/65626084347205940426.

Full text
Abstract:
碩士<br>華梵大學<br>資訊管理學系碩士班<br>97<br>In this thesis, the embedded watermark using discrete wavelet transformation (DWT) is proposed to convert images into four various frequency sub-bands. Furthermore, Particle swarm optimization (PSO) is used to randomly select any sub-band to adjust three important parameters at the embedded or extraction watermark: the possible value for embedding watermark, the value of watermark embedded in the original image and the threshold value of watermark extraction. In the proposed approach, it is to determine the best values of peak signal to noise ratio (PSNR) and b
APA, Harvard, Vancouver, ISO, and other styles
37

Sun, Yu-Jen, and 孫佑仁. "Optimum Design of Fuzzy Controller Using Particle Swarm Optimization Algorithm." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/05058925715155879967.

Full text
Abstract:
碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>96<br>Invert pendulum system is a typical system with features of unstable, non-linear, and non-minimum phase. Therefore, it is always the experiment platform used for proving all kinds of control theory in the domain of control. In the thesis, we use fuzzy controller to keep the invert pendulum erective and control cart position. To design a fuzzy controller, we often need to rely on expert experience to establish the membership functions and fuzzy rules. If there is no expert experience, it must unceasingly try the failures. Therefore, considering the difficulty
APA, Harvard, Vancouver, ISO, and other styles
38

Huang, Kuo-Chen, and 黃國真. "Optimization Design of Power Harmonic Filters Using Particle Swarm Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/89721139808726952812.

Full text
Abstract:
碩士<br>淡江大學<br>電機工程學系碩士在職專班<br>94<br>This thesis uses Particle Swarm Algorithm to design a passive filter in order to find the turning point and the capacitor value enabling the generated electric harmonics within the limit set by Taiwan Power Company and to improve the harmonic problems of low voltage electric system. Nowadays, many fields take the concept of simulating biological wisdom for doing researches on most optimization problems, and Particle Swarm Optimization is one of the latest technologies. Particle Swarm Optimization is resulted from the observation of birds’ food-seeking behavi
APA, Harvard, Vancouver, ISO, and other styles
39

Chen, Chu-Chuan, and 陳主瑔. "Using Particle Swarm Optimization Algorithm in Multimedia CDN Content Placement." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/59567539905206749116.

Full text
Abstract:
碩士<br>銘傳大學<br>電腦與通訊工程學系碩士班<br>100<br>Multimedia Content Delivery Networks (CDN) is used to improve the performance and reliability on Internet. In CDN architecture, the multimedia contents are replicated from the origin server to replica servers in order to improve the performance and minimize the use of network bandwidth. Efficient placing the multimedia contents in CDN is a challenging problem. There are five factors that can be used to determine the placement of multimedia contents, they are bandwidth availability, connection availability, storage availability, CPU availability, and memory
APA, Harvard, Vancouver, ISO, and other styles
40

Huang, Chien-Chang, and 黃建彰. "Genetic Algorithm with Particle Swarm Optimization for Multiple Sequence Alignment." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/88695419642629138038.

Full text
Abstract:
碩士<br>義守大學<br>工業工程與管理學系碩士班<br>96<br>After the completion of human genome sequencing, 2.9 billion letters of DNA code have been read. The finished human genome sequence records the mechanism of inherited traits. If exploring and analyzing these substantial genomic data effectively, we can identify genes involved in more complex diseases and power drug discovery research. However, only a few of sequences are meaningful in the genomic data. The DNA sequences of organisms must be aligned so that we can find out the implicit biological information. The main tool of analyzing DNA sequences is sequen
APA, Harvard, Vancouver, ISO, and other styles
41

Lin, Yi chen, and 林奕辰. "The Study of Particle Swarm Optimization Theory and Algorithm Improvement." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/58448200434133121069.

Full text
Abstract:
碩士<br>大葉大學<br>電機工程學系<br>98<br>Developments in the Particle Swarm Optimization(PSO) since 1995 are reviewed. The proposal of Particle Swarm Optimization by professor Kennedy and Eberhart has been succeeded in solving for many optimization problems. Particle Swarm Optimization algorithm is a new soft computation method. which has the features of rapid convergence speed and fewer parameters needed to be adjusted. In this paper, to improve the calculation efficiency, the modified Proposes one kind of improvement pso algorithm is based on basic PSO algorithm ,and the mutation of genetic algori
APA, Harvard, Vancouver, ISO, and other styles
42

Hsieh, Tuan-Kuei, and 謝端桂. "Two Dimesional Antenna Array Designing Using Particle Swarm Optimization Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/28390061128792015210.

Full text
Abstract:
碩士<br>國立中正大學<br>通訊工程研究所<br>99<br>In antenna synthesis, given the weights and positions of the antenna array, the beampattern of the antenna array can be determined. The design criterion of the antenna array is to minimize the sidelobe level of the radiation pattern. In this thesis, a particle swarm optimization (PSO) algorithm is used to determine the positions of the two dimensional array such that the sidelobe level is minimized. Assuming that the antenna weight is constant, the evaluation or fitness function are derived for the array geometry with the goal of minimizing the sidelobe level i
APA, Harvard, Vancouver, ISO, and other styles
43

Yang, Feng-Shin, and 楊逢新. "Particle Swarm Optimization Algorithm Application to the Berth Allocation Problem." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/34873340090796006448.

Full text
Abstract:
碩士<br>國立交通大學<br>運輸科技與管理學系<br>99<br>The Berth Allocation Problem becomes a NP-problems when the number of ships increases to certain extent. Therefore, this research have to use a streamlined calculating methods to find a more efficient way to solve the BAP problems. Particle Swarm Optimization is used to solve problems in this research. The most important part of PSO is parameter setting. This experiment used three parameter setting particle numbers, 10, 20 and 30. In addition, iterative numbers were set at 50, 100 and 150. The above settings were tested on the following number of model ships:
APA, Harvard, Vancouver, ISO, and other styles
44

Chen, Kai-Min, and 陳凱旻. "Design of PID Controller with Grey Particle Swarm Optimization Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/30965058009270856368.

Full text
Abstract:
碩士<br>龍華科技大學<br>電機工程系碩士班<br>100<br>Based on grey relational analysis, this thesis proposes a grey particle swarm optimization (GPSO) algorithm in which both the inertia weight and acceleration coefficients are varying over the iterations. Besides, a mutation strategy is proposed to guide the global optimum of particles jump out of local optima and improve the accuracy of the global optimum and premature convergence to local optima drawback. The proposed GPSO is applied to solve the optimization problems of twelve unimodal and multimodal benchmark functions for demonstrating its search performa
APA, Harvard, Vancouver, ISO, and other styles
45

Wei-ChienLin and 林暐傑. "Implementation of Particle Swarm Optimization Algorithm for Preliminary Ship Design." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/63598859176293291249.

Full text
Abstract:
碩士<br>國立成功大學<br>系統及船舶機電工程學系碩博士班<br>101<br>At the beginning of ship design, optimal ship design and optimization of ship performance are the goals to the designers for different requirements, such as the minimum resistance, the minimum cost, the maximum capacity, the optimum seakeeping. At the present, the optimization depends on the experience of the designers or a amount of design data. In this case, due to the lack of theoretical foundation, the optimal design is inaccurate, and it wastes a lot of human resources and time. To solve the above menfioned problem, the main purpose to this resea
APA, Harvard, Vancouver, ISO, and other styles
46

Chiang, Chia-Yu, and 蔣嘉祐. "Index Fund Portfolio Optimize Construction Based on Particle Swarm Optimization algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/20580940611679782387.

Full text
Abstract:
碩士<br>國立中興大學<br>科技管理研究所<br>101<br>In today’s stock market, fund has become a popular invest tool. The investor distributed their money to different stocks to reduce the risk and get more return. Index fund is the most popular category of fund in these years. Index fund use the way to track the market even by full replication. Therefore, the target to find the best weight for different stocks that could track the market performance will become the most important step of index fund. And the method to find the best weight also became an interesting direction. In this research, we combine this dir
APA, Harvard, Vancouver, ISO, and other styles
47

(5931074), Md Saiful Islam. "Dynamic Electronic Asset Allocation Comparing Genetic Algorithm with Particle Swarm Optimization." Thesis, 2019.

Find full text
Abstract:
<div>The contribution of this research work can be divided into two main tasks: 1) implementing this Electronic Warfare Asset Allocation Problem (EWAAP) with the Genetic Algorithm (GA); 2) Comparing performance of Genetic Algorithm to Particle Swarm Optimization (PSO) algorithm. This research problem implemented Genetic Algorithm in C++ and used QT Data Visualization for displaying three-dimensional space, pheromone, and Terrain. The Genetic algorithm implementation maintained and preserved the coding style, data structure, and visualization from the PSO implementation. Although the Genetic Al
APA, Harvard, Vancouver, ISO, and other styles
48

Islam, Md Saiful. "Dynamic electronic asset allocation comparing genetic algorithm with particle swarm optimization." Thesis, 2018. http://hdl.handle.net/1805/17916.

Full text
Abstract:
Indiana University-Purdue University Indianapolis (IUPUI)<br>The contribution of this research work can be divided into two main tasks: 1) implementing this Electronic Warfare Asset Allocation Problem (EWAAP) with the Genetic Algorithm (GA); 2) Comparing performance of Genetic Algorithm to Particle Swarm Optimization (PSO) algorithm. This research problem implemented Genetic Algorithm in C++ and used QT Data Visualization for displaying three-dimensional space, pheromone, and Terrain. The Genetic algorithm implementation maintained and preserved the coding style, data structure, and visualizat
APA, Harvard, Vancouver, ISO, and other styles
49

Guan-YuChen and 陳冠宇. "Hybrid Particle Swarm Optimization Algorithm Based Obstacle Run for Humanoid Robot." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/s3x8cx.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Liao, Che-Cheng, and 廖哲成. "Kinematic Calibration of Robot Manipulators Based on Particle Swarm Optimization Algorithm." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/c3uz9z.

Full text
Abstract:
碩士<br>淡江大學<br>電機工程學系碩士班<br>103<br>In this thesis, a kinematic calibration method based on a Particle Swarm Optimization (PSO) algorithm is proposed to improve the position error and enhance the absolute accuracy of robot manipulator. The robot manipulator will have some precision error due to it works for a long time or after maintenance. They will cause some positioning errors between the actual posture of the end-effector of robot manipulator and the command posture. Thus, the kinematic calibration of the robot manipulator is an important topic. Most kinematic calibration methods for the rob
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Particle Swarm Algorithm (PSA)' for other source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography