swarm IEEE PAPER 2018
Study of Biometric Classification Using Speed-Constrained Multi-Objective Particle Swarm Optimization Algorithm
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ABSTRACT In biometric identification area, many useful model-based techniques are executed such as neural networks and support vector machines. The proposed descriptor is tested on standard benchmark databases related to user biometric identification like UCI/Statlog and
Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization (EMPSO)
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ABSTRACT Every node in an ad hoc network are constrained by energy power for their operation. Communication (transmission and reception) is one of the main sources of energy consumption in Mobile Ad hoc Networks. Since the rate of battery performance
Enhance the Performance of Video Compression Based on Fractal HV Partition Technique with Particle Swarm Optimization
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With the development of multimedia technology, video compression has become more and more important. The high definition of video required huge amount of storage space and large amount of bandwidth for the transmission of video. The most straightforward way to
Exploring the Role of Mixed-Mechanism Fracturing and Fluid-Faulting Interactions During the 2014 Long Valley Caldera, California, Earthquake Swarm
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ABSTRACT Several sequences of intense earthquake swarm activity occurred beneath the Long Valley Caldera between May and November 2014. At the height of swarm on September 26, three magnitude 3.5 events occurred within a matter of hours. The swarm has
Reactile: Programming Swarm User Interfaces through Direct Physical Manipulation
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ABSTRACT We explore a new approach to programming swarm user interfaces ( Swarm UI) by leveraging direct physical manipulation. Existing Swarm UI applications are written using a robot programming framework: users work on a computer screen and think in terms of low
Examining the (mini-) variable swarm in the Spanish of the Southeast
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0. ABSTRACT The present investigation aims to facilitate our understanding of Spanish in the Southeastern United States a region that despite its rapid growth over the last two decades, has received little attention in the literature. Analyses of four linguistic variables indicated ABSTRACT The vibration signals of faulty rotating ma-chinery are typically nonstationary, nonlinear, and mixed with abundant compounded background noise. To extract the potential excitations from the observed rotating machinery, signal demodulation and time frequency
PySwarms: a research toolkit for Particle Swarm Optimization in Python
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Summary Particle swarm optimization (PSO) is a heuristic search technique that iteratively improves a set of candidate solutions given an objective measure of fitness (Kennedy and Eberhart 1995b). Although vanilla implementations of PSO can be found in some Python
A Novel Quality of Service (QoS) routing algorithm for Software Defined Network (SDN) using Particle Swarm Optimization (PSO)
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ABSTRACT Due to the use of various technologies like mobile, cloud, big data. The network traffic has increased this has resulted in the reexamination of the working of traditional network architectures as these are built as static architectures and cannot handle the rapid
Panchromatic and Multispectral Remote Sensing Image Fusion Using Particle Swarm Optimization of Convolutional Neural Network for Effective Comparison of
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ABSTRACT . With the advance of remote sensing in observation engineering, high multispectral and spatial resolution of remote sensing imagery such as Landsat Thematic Mapper, Spot, Ikonos, Worldview, Seastar and Geoeye metaphors were attained by distinct types of
Scenario Analysis of Carbon Emissions of Chinas Power Industry Based on the Improved Particle Swarm Optimization-Support Vector Machine Model.
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ABSTRACT The power industry, as the primary source of carbon emissions across China, should take more responsibility to effectively reduce carbon emissions. Affected by various factors, carbon emissions from the power industry show non-linear and non-stationary
Particle Swarm Optimization and Quantum Particle Swarm Optimization to Multidimensional Function Approximation
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ABSTRACT This work compares the results of multidimensional function approximation using two algorithms: the classical Particle Swarm Optimization (PSO) and the Quantum Particle Swarm Optimization (QPSO). These algorithms were both tested on three functions-The My major motivation to think about swarm robotics is the question of how probabilistic local actions of small robots sum up to rational global patterns shown by the swarm . For the engineer, it has potential to let a dream come true because complex problems may be
Economic Load Dispatch Problem of power plant in thermal electric generation system using swarm optimization Technique
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ABSTRACT -Economic Load Dispatch is basic research challenges and critical advancement work in the everyday operational arranging of age framework. It is here and now determination of the most ideal yield of various generators units, to meet the power
Development of modified discrete particle swarm optimization algorithm for quadratic assignment problems
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The Quadratic Assignment Problem (QAP) first appeared in literature during 1957 when Koopmans and Beckman published a paper on the allocation of indivisible resources. The paper discussed two problems related to the location of economic activities which was ABSTRACT . The present work proposes a new approach to measuring efficiency of evolutionary algorithm-based Machine Translation. We implement some attributes of evolutionary algorithms performing cosine similarity objective function of a Particle Swarm Optimization
Fractal Compression of an AVI Video File using DWT and Particle Swarm Optimization
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ABSTRACT In the current scenario compression of video files is in high demand. Color video compression has become a significant technology to lessen the memory space and to decrease transmission time. Video compression using fractal technique is based on self
Portfolio Management Using Prospect Theory: Comparing Genetic Algorithms and Particle Swarm Optimization
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ABSTRACT In this work, we compare the performance of two metaheuristic optimization algorithms, namely the Genetic Algorithms (GA) and the Particle Swarm Optimization (PSO), in finding an optimized investing portfolio. This comparison is based on two performance
An Efficient Clustering Scheme for Cloud Computing Problems Using Parameter Improved Particle Swarm Optimization (PIPSO) Technique
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ABSTRACT Data clustering partitions the information into helpful classes or groups with no earlier learning. This is a fundamental method in the field of computer data mining and it has turned into an essential element in many other engineering areas including cloud
Study on Swarm Intelligence on Medical Field
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ABSTRACT Swarm intelligence is one of the important concepts in artificial intelligence and computer science with evolving properties. The vital design of swarm intelligence algorithms is to make use of many simple agents applying almost no rule which in turn leads to an
Enhancing The Performance of the Greedy Algorithm Using Chicken Swarm Optimization: An Application to Exam Scheduling Problem
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ABSTRACT Exam scheduling, or exam timetabling, is one of the most important challenges of credit hour systems. Credit hours system are characterized by their large number of courses, students, and professors. However, there are many constraints regarding exam time tabling
Glow-Worm Swarm Optimization for Wireless Sensor Networks
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ABSTRACT : Wireless Sensor Networks (WSNs) have the prospect to become the most crucial technology of the future. Based on the applications, there is a need to locate the physical location of sensor node to improve the performance. This is known as localization problem
Object Tracking using Orthogonal Learning Particle Swarm Optimization (OLPSO)
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ABSTRACT Millions of surveillance cameras have been installed in public areas, producing vast amounts of video data every day. It is an urgent need to develop intelligent techniques to automatically detect and segment moving objects. Various approaches have been
Chaos Adaptive Improved Particle Swarm Optimization Algorithm and its Multi-objective Optimization Solution
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ABSTRACT To overcome the problem of premature convergence on particle swarm optimization (PSO), this paper proposes an improved particle swarm optimization method (IPSO) that based on self-adaptive regulation strategy and chaos theory. For a given the effective
Analysis of Cloud Storage Issues in Distributed Cloud Data Centres by Parameter Improved Particle Swarm Optimization (PIPSO) Algorithm
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ABSTRACT Cloud Computing environment provides several on demand services for users. The recent problem and important issues in cloud computing is to optimize cloud storage over distributed data centers. The cloud storage optimization problem is considered as one
TUNING PID CONTROLLER USING GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SINGLE PROPELLER PENDULUM
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ABSTRACT In this paper, PID control of a single propeller pendulum system is studied. PID controller is designed for angular position control of a propeller pendulum systems. PID controller has Proportional (Kp), Integral (Ki) and Derivative (Kd) gains which effect the
Optimization of Switching Frequency of Medium Voltage Inverters with Particle Swarm Optimization
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ABSTRACT The harmonic distortion of start currents in medium voltage drives impact the performance of multilevel inverters. For the reduction of harmonic distortion used low frequency-based switching techniques. The low frequency switching techniques
Design of Power System Stabilizer Using Particle Swarm Optimization (PSO) Technique
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ABSTRACT Modern civilization is driven mainly by electricity and hence a reliable and secure power system plays a vital role. One very important aspect of this vital system is stability. Over the years generations of power engineers studied the stability aspects and a lot of
Combined Heat and Power Economic Dispatch using Particle Swarm Optimization
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ABSTRACT -Combined heat and power (CHP) is well-organized and consistent approach for generating power and thermal energy utilizing only one fuel source with advantage of increasing the equipped efficiency and it also reduces the load on Electric Transmission
Radial basis function and particle swarm optimization to predict range extender engine performance
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ABSTRACT Range extender engine is one of the potential technologies to develop in future. However, this technology still has performance and emission problem. To solve this problem, a new technology model and optimization method are needed. Therefore, for this
CLUSTERING OF 2008 WEST BOHEMIAN SEISMIC SWARM MECHANISMS AND ITS POSSIBLE INTERPRETATION
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ABSTRACT Set of events from West Bohemian 2008 seismic swarm with known source mechanisms is processed. The events or their slips respectively are clustered into two groups:(i) principal events with slip laying in the main fault plane and (ii) complementary
PREDICTION OF LIVER DISORDER USING NEURO-FUZZY SYSTEM AND CHICKEN SWARM OPTIMIZATION ALGORITHM FOR ULTRASOUND IMAGE
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ABSTRACT The liver is the second biggest internal organ in the human body, and plays a major role in metabolism and some crucial functions. Patients with liver disease cant be effortlessly anticipated in beginning since it will be functioning normally even when it is
Particle swarm optimization approach to software project scheduling
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ABSTRACT Many software development organizations suffer from losses. One of the major reasons for these losses is failure of the software projects which is due to improper software project scheduling. Software project scheduling is thus one of the important activities of
MRI brain image segmentation using improved Particle Swarm Optimization
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Image segmentation is one of the most important and challenging tasks in medical imaging analysis. Research on the MRI segmentation of the human brain requires more effective solutions to better manage this issue. In this article we propose an improved particle swarm
ACTIVE POWER LOSS REDUCTION BY BETTER-QUALITY PARTICLE SWARM OPTIMIZATION ALGORITHM
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ABSTRACT In this paper Better-Quality Particle Swarm Optimization (BPSO) algorithm is proposed to solve the optimal reactive power Problem. Proposed algorithm is obtained by combining particle swarm optimization (PSO), Cauchy mutation and an evolutionary
Dispatch of Multiarea System with Tie Line Constraints using Modified Particle Swarm Optimization
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ABSTRACT : This paper presents the dispatch of multiarea system using the novel algorithm consisting of modified particle swarm optimization (PSO). The proposed algorithm uses PSO as a base level search and the solution obtained is improved using deterministic simplex
An Analysis Of Heart Disease Prediction Using Swarm Intelligence Algorithms
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ABSTRACT -Health diseases are increasing day by day due to life style and hereditary. In this aspect, heart disease is the most important cause of demise in the human kind over past few years. The objective of this paper is to predict the Heart Disease by applying Artificial Neural ABSTRACT In this paper, we present the system infrastructure for a swarm of quadrotors, which perform all estimation onboard using monocular Visual Inertial Odometry. This is a novel system since it does not require an external motion capture system or GPS and is able
AMELIORATED PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM
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ABSTRACT In this paper, an Ameliorated Particle Swarm Optimization (APSO) algorithm has been proposed to solve the optimal reactive power dispatch problem. Particle Swarm Optimization (PSO) is swarm intelligence-based exploration and optimization algorithm
Lossless Compression of Gray Scale Image by Discrete Wavelet Transform and Particle Swarm Optimization
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ABSTRACT The advancement of digital technology needs fast processing of data. the processing speed of data depends on the size, the big size of data required more space and bandwidth for the processing of data. the efficient process of image compression reduces CSE PROJECTS