ENGINEERING RESEARCH PAPERS

swarm technology 2017 IEEE PAPER


Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence.

Amplifying Prediction Accuracy using Swarm AI
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Abstract:In the natural world, many species amplify the accuracy of their decision-making abilities by working together real-time closed-loop systems that converge on optimal solutions in synchrony. Known as Swarm Intelligence (SI), the process has been deeply

Cooperative Black Hole Attack Prevention by Particle Swarm Optimization with Multiple Swarms
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Abstract:MANET (Mobile Ad Hoc Network) is a type of ad hoc network that can change locations and configure itself, because of moving of nodes. As MANETs are mobile in nature, they use wireless connections to connect various networks without infrastructure or any

Hybrid Adaptive Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem
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The finding of suitable values for all parameters of a Particle Swarm Optimization (PSO) algorithm is a crucial issue in the design of the algorithm. A trial and error procedure is the most common way to find the parameters but, also, a number of different procedures have

Optimal sizing and sitting of distributed generation using Particle Swarm Optimization Guided Genetic Algorithm
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ABSTRACT This paper attempts to minimize losses and at the same time maintain acceptable voltage profiles in a radial distribution system. Distributed generation (DG) is a hot topic due to the ever increasing demands for electrical energy. Thus this paper optimally Abstract We present fully covered phased light curves for 56 Jovian Trojan asteroids as observed by the K2 mission of the Kepler space telescope. This set of objects has been monitored during Campaign 6 and represents a nearly unbiased subsample of the

Abnormal Breast Detection Via Combination of Particle Swarm Optimization and Biogeography-Based Optimization
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Abstract. The breast cancer is the most common cancer among women. To detect it in an accurate way, we designed a new abnormal breast detection system based on the hybridization of particle swarm optimization and biogeography-based optimization. The Abstract. Engineers and architects are now turning to use computational aids in order to analyze and solve complex design problems. Most of these problems can be handled by techniques that exploit Evolutionary Computation (EC). However existing EC techniques are

Unsupervised Satellite Change Detection Using Particle Swarm Optimisation in Spherical Coordinates
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Abstract. This paper proposes a new unsupervised satellite change detection method, which is invariant to shadow and shading effects. To achieve this, firstly, the RGB satellite images are transformed into spherical colour space to remove illumination artifacts. Then, a new Abstract One of the most important steps in the modelling process is the estimation of unknown parameters. In general, this is achieved by solving an optimization problem that relates the objective function to the response variable and the functional part of the model

Active Power Allocation of Virtual Synchronous Generator Using Particle Swarm Optimization Approach
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Abstract In recent years, the penetration of renewable energy sources (RES) is increasing due to energy and environmental issues, causing several problems in the power system. These problems are usually more apparent in microgrids. One of the problems that could

Source Characteristics of the 2012 Earthquake Swarm Activity in the Andaman Spreading Ridge
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ABSTRACT Earthquake swarms are a sequence of events clustered in space and time, with no single earthquake dominating in size. Such swarms were observed in the Andaman sea region during the years 1983-1984, 1994, 2005 and 2012. The recent one in 2012 occurred

Particle Swarm Optimization Technique for Optimizing Conditional Value-at-Risk Based Portfolio
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Abstract-In existence of instability within the financial dealings, a reasonable harmony among risks and returns has to be managed by an investor to derive at an optimum standpoint. Although there is a predominant instability, the advantage lies in the correlation

Broadcast Control for Swarm of Agents with Bearing Only and Limited Visibility Sensors
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Abstract We suggest a control mechanism for leading a team of mobile, oblivious, identical and indistinguishable agents in desired directions. The agents are assumed to have a compass, ie a common North direction, and bearing only sensing within a limited visibility

An Investigation of Environmental Influence on the Benefits of Adaptation Mechanisms in Evolutionary Swarm Robotics
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ABSTRACT A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness of each

Modeling of Solar PV system under Partial Shading using Particle Swarm Optimization based MPPT
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Abstract-This work presents the effects of changing environmental conditions on the solar photovoltaic energy conversion system. Partial shading causes oscillations in output characteristics of the PV (photovoltaic) array and distracts the system to track MPP

The OLCI Neural Network Swarm (ONNS): A Bio-geo-optical Algorithm for Open Ocean and Coastal Waters
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The processing scheme of a novel in-water algorithm for the retrieval of ocean color products from Sentinel-3 OLCI is introduced. The algorithm consists of several blended neural networks that are specialized for 13 different optical water classes. These comprise

Economic Dispatch with Integrated Wind-Thermal using Particle Swarm Optimization
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Abstract The Economic dispatch is an important optimization task in power system. Thermal power plants are the major electrical energy producers. Need for renewable energy occurs due to the extinction of fossil fuels. Hence, it is necessary to operate these renewable plants

Design and implementation of Four-Phase Sequences on FPGA using Modified Particle Swarm Optimization for Radar Applications
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Abstract: Radar applications require sequences with individually peaky autocorrelation and low cross-correlation. Obtaining such sequences is a combinatorial problem. Thus the problem of signal design mentioned above is a challenging task for which many global

PID Controller Tuning Using Bacteria Foraging based Particle Swarm Optimization (BF-PSO) Technique for DC Motor System
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ABSTRACT The Paper Present to design a PID controller by selection of a PID parameters using Bacteria Foraging based Particle Swarm Optimization algorithm. The model of a DC motor is used as a plant. The conventional gain tuning of PID controller usually produces a

QUANTUM PARTICLE SWARM OPTIMIZATION FOR ECONOMIC DISPATCH PROBLEM USING CUBIC FUNCTION CONSIDERING POWER LOSS
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ABSTRACT: In this paper, quantum computing (QC) inspired particle swarm optimization (QPSO) technique is utilized to solve economic dispatch (ED) problem, which has strong, robust and reliable search capability with powerful convergence properties. Here, authors

Automated information retrieval model using FP growth based fuzzy particle swarm optimization
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ABSTRACT To mine out relevant facts at the time of need from web has been a tenuous task. Research on diverse fields are fine tuning methodologies toward these goals that extracts the best of information relevant to the users search query. In the proposed

Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization.
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Abstract: Function approximation is an important type of supervised machine learning techniques, which aims to create a model for an unknown function to find a relationship between input and output data. The aim of the proposed approach is to develop and

Multi-objective Hierarchical Particle Swarm Optimization of Linear Antenna Array with Low Side Lobe and Beam-Width
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Abstract The main goal of antenna array design is to maximize/minimize the radiation pattern in a particular direction. Thus antenna array is used to reduce the side lobe level (SLL) to optimize the radiated power as possible in a particular direction. In this paper, a

Model Order Reduction of an ISLANDED MICROGRID Using Single Perturbation, Direct Truncation and Particle Swarm Optimization
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ABSTRACT: In this paper we are simplify the model of an islanded micro-grid systems using Single Perturbation method (SP) and Particle Swarm Optimization. The used model is of an 6th Order islanded micro-grid model. As we know it is not possible to approximate the

Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods
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Abstract This paper presents a technique for Medium Term Load Forecasting (MTLF) using Particle Swarm Optimization (PSO) algorithm based on Least Squares Regression Methods to forecast the electric loads of the Jordanian grid for year of 2015. Linear, quadratic and

Swarm Based Coverage Using Multiple Informed Leaders
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Abstract:Robotic exploration typically involves navigation through unknown terrains. In this paper, collaborative strategy for coverage is presented, in which the concept of informed agents as a leader in a swarm has been introduced for autonomous coverage. The small

Optimize Workflow Scheduling Using Hybrid Ant Colony Optimization (ACO) Particle Swarm Optimization (PSO) Algorithm in Cloud Environment
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Abstract: Those days are gone when storing and accessing of data were done on computer's hard drive. Now with innovation in technology and with the great success of Internet computing resources have become more economical, more powerful and more ubiquitously

Artificial Fish Swarm Algorithm Based-Maximum Power Generation for Grid-Connected PV Panels
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Abstract:This paper proposes a novel maximum power point tracking (MPPT) method and a single-phase grid-connected photovoltaic (PV) system using a half-bridge active neutral point clamped (ANPC) inverter. The new MPPT method uses a modified artificial fish swarm

Analysis of Adaptive Lossless Image Compression using Hybrid Particle Swarm Optimization Spider Monkey Optimization (PSOSMO) Algorithm
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Abstract: The compression of image is actually plays an important role to compress the data in case of digital images. Mainly image compression is used to reduce the redundancy. It is done such that overall memory requirement and processing requirement and less time

An interval valued EPQ model in imperfect production system with rework of regular production, shortages and sales return via particle swarm optimization
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Abstract In this paper an EPQ model in imperfect production process allowing shortages, rework process for re-workable items and considering all the cost parameters as interval numbers has been studied. Also error in screening process of detecting detective items

Water Quality Evaluation Using Back Propagation Artificial Neural Network Based on Self-Adaptive Particle Swarm Optimization Algorithm and Chaos Theory
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Abstract To overcome the shortcomings of the traditional methods of water quality evaluation, in this paper, a novel model combines particle swarm optimization (PSO), chaos theory, self-adaptive strategy and back propagation artificial neural network (BP ANN) that

A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization.
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Consumers' opinions toward product design alternatives are often subjective and perceptual, which reflect their perception about a product and can be described using Kansei adjectives. Therefore, Kansei evaluation is often employed to determine consumers'

Applications and Variants of Particle Swarm Optimization: A
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Particle Swarm Optimization (PSO) has become popular choice for solving complex and perplexing problems which otherwise are difficult to interpret by traditional methods. PSO algorithm is a heuristic approach with two main advantages: it has fast convergence, and it

Using Bacterial Foraging Algorithm to Design Optimal Power System Stabilizer and Comparisons with Genetic Algorithm and Particle Swarm Optimization
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Abstract. The Bacterial Foraging (BF) is a global optimization algorithm that imitates the foraging behavior of Escherichia coli (E. coli) bacteria. Foraging habit of individuals and groups of E. coli bacteria for nutrients is modeled as a distributed optimization process. This

Forecasting Satellite Power System Parameter Interval Based on Relevance Vector Machine with Modified Particle Swarm Optimization.
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Abstract:Power system is an essential system in satellite, which ensures the security and stability of energy in the whole satellite system. This paper presents a mixed relevance vector machine with modified particle swarm optimization (MPSO-RVM) algorithm to forecast

Application of Improved Fish Swarm Algorithm in Cloud Computing Resource Scheduling
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Abstract. An improved fish-swarm algorithm is proposed for resource scheduling in cloud computing. The improvement process is divided into the following aspects, The experimental results show that the improved fish-swarm algorithm is more suitable for resource

Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm
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Abstract Generally the generation units in the traditional structure of the electricity industry try to minimize their costs. However, in a deregulated environment, generation units are looking to maximize their profits in a competitive power market. Optimum generation planning in

Visualizing security boundaries in Docker Swarm overlay networks
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Abstract When using overlay networks it can get complicated to keep track of the structure of the networks and keeping track of what gets exposed on these networks. This research focused on testing what can be done on an overlay network if a Docker container that is part

Sense-Based Information Retrieval Using Fuzzy Logic and Swarm Intelligence
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Abstract Improvement of the quality of information retrieval (IR) using the word sense disambiguation (WSD) was subject of controversy among a lot of authors. However, the recent researches pay tribute to the positive role for using the WSD to improve the IR

Optimal Power Scheduling in Multi-Microgrid System Using Particle Swarm Optimization
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Abstract This paper presents the power scheduling of a multi-microgrid (MMG) system using an optimization technique called particle swarm optimization (PSO). The PSO technique has been shown to be most effective at solving the various problems of the economic load

Swarm Testing using CSmith
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Software testing is a process, or a series of processes, designed to make sure computer code does what it was designed to do and that it does not do anything unintended [1]. To perform this task efficiently, many testing strategies have been developed. These have been

Energy Efficient Clustering Protocol for Wireless Sensor Networks Using Particle Swarm Optimization Approach
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Abstract-WSN comprises of a considerable amount of small and limited power sensor elementstarget region. WSNs have potential applications in atmosphere observing, calamity cautioning frameworks,

Fast Singular value decomposition based image compression using butterfly particle swarm optimization technique (SVD-BPSO)
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Abstract:-Image compression is an important research area in an image processing system. Due to the compression of data rates, this finds crucial in applications of information security for the fast transmission. Singular Value Decomposition (SVD) is a compression technique

Solving the Power System State Estimation Problem Embedded with UPFC Using Glowworm Swarm Optimization Algorithm
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Abstract In this paper, the state estimation (SE) problem is formulated as a general nonlinear programming problem with equality constraints and boundary limits on the state variables. The objective of this paper is to incorporate the Unified Power Flow Controller (UPFC) into

Application of Swarm Intelligence in Image Classification
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Abstract Bio-Inspired computing is the subset of Nature-Inspired computing. In this study, Bacterial Foraging optimization was hybridized with Ant Colony Optimization and a new technique Hybrid Bacterial Foraging Optimization to extract natural terrain features was Abstract. In this paper, we propose to use the Particle Swarm Optimization (PSO) algorithm to improve the Multi-Scale Line Detection (MSLD) method for the retinal blood vessel segmentation problem. The PSO algorithm is applied to find the best arrangement of scales

Particle Swarm Optimization Algorithm Applied in Online Commissioning at the MLS and BESSY II
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Abstract Particle Swarm Optimization (PSO) is a population based optimization technique inspired by the social behaviour of bird flocking [1]. This algorithm has been successfully used for beam dynamics simulations due to its excellent capability to deal with large-

Detection of Brain Tumor in MR Images using Multi-objective Particle Swarm Optimization with Support Vector Machine Classifier with RBF kernel
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Proper diagnosis and detection of brain tumor in its early stage is necessary in order to help doctors in planning treatment. In our proposed method, Magnetic Resonance Images are trained after pre-processing, segmentation, feature extraction and a database is created.

Cooperative Particle Swarm Optimization in Distance-Based Clustered Groups
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Abstract TCPSO (Two-swarm Cooperative Particle Swarm Optimization) has been proposed by Sun and Li in 2014. TCPSO divides the swarms into two groups with different migration rules, and it has higher performance for high-dimensional nonlinear optimization problems

A Particle Swarm Optimization Approach for Energy Efficient Clustering in Wireless Sensor Networks
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Abstract:In the previous years, wireless sensor networks (WSNs) got lot of attraction from the scientific and industrial society. WSNs are composed of huge number of small resource constrained devices recognized as sensors. Energy is a vital issue in WSN. Energy efficient Abstract: Dolerite dykes are widespread in the Mongo area within the granitic Gu ra Massif (Chad, Central Africa). Dykes are several hundred metres to several kilometres long, a metre to decametre thick, and vertical, crosscutting the Pan-African granitic basement rocks. They

A Hybrid Algorithm Based on Gravitational Search and Particle Swarm Optimization Algorithm to Solve Function Optimization Problems.
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Abstract:Gravitational search algorithm (GSA) is a swarm intelligence heuristic optimization algorithm based on the law of gravitation. Aiming at the disadvantage of poor local search ability and slow convergence speed in standard GSA, four improved GSA-PSO hybrid

Unsupervised text feature selection technique based on particle swarm optimization algorithm for improving the text clustering
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Abstract. After incensing the amount of text information on internet web pages, the dealing with this information is very complex due to the volume of information. Text clustering technique is an appropriate task to deal with a huge amount of text documents by grouping

Power Loss Minimization Using Glowworm Swarm Optimization Technique
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ABSTRACT This paper presents Glowworm Swarm Optimization (GSO) algorithm to compensate the reactive power. The objective is to minimize the power loss. In the glowworm swarm optimization algorithm each glowworm find all the glowworm which have

FIR Filter Design Using Particle Swarm Optimization Technique
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Abstract: In this paper the design of FIR filter is done through particle swarm optimization (PSO) technique in which we applied continuous iterations of sampling the desired frequency response and optimizes the impulse response in the specified frequency band.

Multilevel Thresholding based on Chaotic Darwinian Particle Swarm Optimization for Segmentation of Satellite Images
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Abstract This paper proposes an improved variant of Darwinian Particle Swarm Optimization algorithm based on Chaotic functions. Most of the evolutionary algorithms faces the problem of getting trapped in local optima in its search for global optimum solutions. This is highly On 9 February, witness the world's first autonomous" dogfight" between UAS swarms! A UAS swarm using behaviors developed at the Naval Postgraduate School (NPS) will engage a swarm using behaviors developed at the Georgia Tech Research Institute. Lectures

Phase-only Synthesis of Linear Microstrip Patch Antenna Array using Improved Local Search Particle Swarm Optimization
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Abstract Antenna arrays have been used for various applications in wireless communications, Radar, satellite communications and mobile communications. Low sidelobe antenna arrays are need to be designed for increasing the efficiency of the

Investigate Curvature Angle of the Blade of Banki's Water Turbine Model for Improving Efficiency by Means Particle Swarm Optimization
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Abstract-Turbines are used to convert potential energy into kinetic energy. Turbine blades are designed expertly with specific curvature angles. The output power, speed, and efficiency of a water turbine are affected by the curvature angle of the blade because water

Designing of Optimized Combinational Circuits Using Particle Swarm Optimization Algorithm
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Abstract Particle Swarm Optimization (PSO) is an evolutionary computation technique which is used for optimization in several applications. In this paper, PSO is used for the optimization of digital combinational circuits. The result obtained after the implementation of

A Review on Glowworm Swarm Optimization
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ABSTRACT This paper presents a review on glowworm swarm optimization (GSO) algorithm based methods. GSO is a current natureinspired optimization algorithm that simulates the behavior of the lighting worms. GSO algorithm is suitable for a concurrent search of several

Energy Management in Microgrids Using Swarm Intelligence Optimization Techniques
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The greenhouse gas emission is increasing around the globe. In order to reduce its emission factor, the concept of microgrid is introduced, which integrates renewable energy sources. The microgrid has a point of common coupling which helps to exchange power with

A hybrid particle swarm optimization-SVM classification for automatic cardiac auscultation.
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P Charoen, W Kongprawechnon Journal of Science 2017 rdo.psu.ac.th Abstract Cardiac auscultation is a method for a doctor to listen to heart sounds, using a stethoscope, for examining the condition of the heart. Automatic cardiac auscultation with machine learning is a promising technique to classify heart conditions without need of

PARTICLE SWARM OPTIMIZATION FOR OPTIMIZING LEARNING PARAMETERS OF FUNCTION FITTING ARTIFICIAL NEURAL NETWORK FOR SPEECH
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ABSTRACT Speech signals are effected by noise generated by various sources of interferences. Removing noise from speech signals can be regarded as an active research area in signal processing. Thus, we need powerful methods in this area. Therefore, Function

A HYBRID WEIGHT-BASED AND STRING DISTANCES USING PARTICLE SWARM OPTIMIZATION FOR PRIORITIZING TEST CASES.
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ABSTRACT Regression testing is concerned with testing the modified version of software. However, to re-test entire test cases require significant cost and time. To reduce the cost and time, higher average percentage fault detection (APFD) rate and faster execution to kill fault

A new initialization technique in polar coordinates for Particle Swarm Optimization and Polar PSO
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Abstract:Particle Swarm Optimization (PSO) is one of the famous algorithms inspired by the natural behavior of a swarm (particles). However, it is used to solve n-dimensional problems in search space. One of its modified versions a Polar Particle Swarm Optimizer was

Design an Wireless Sensing Network by utilizing Bit Swarm enhancements
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ABSTRACT Wireless sensor network is a shrewd network system, which has the self- watching functionality. It contains some straightforwardness, low power, minimal size sensor centers that can talk with each other perform identifying, and data get ready. Going about as

The novel hybrid Modified Particle Swarm Optimization Neural Network (MPSO-NN) Algorithm for classifying the Diabetes
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Abstract Diabetes Mellitus (DM) is a chronic, lifelong metabolism disorder. It affects the ability of the body system to use the energy found in food. The improper management of the disease will lead to Heart disease, kidney disease, eye disease, nerve disease and

A Review of the Metaheuristic Algorithms and their Capabilities (Particle Swarm Optimization, Firefly and Genetic Algorithms)
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Abstract This study is conducted with the aim of introducing metaheuristic algorithms with emphasis on particle swarm optimization, firefly, and genetic algorithms. Metaheuristic algorithms have today are widely usable in different fields of optimization science. The

Streaming Swarm of Nano Space Probes as Mission and Instruments Concept
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Introduction: More Recent technologies allegedly promise fast speed space devices-probes- accelerated by a launch base until to some percent of the speed of light.[1]. Malcolm Ritter: Stephen Hawking joins futuristic bid to explore outer space, phys. org, April 12 2016. Hard

SWARM INTELLIGENCE FOR LOGISTICS CONTROLLING
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Abstract-Swarm robotics technology is inspired by behaviour of insects how they work collaboratively to accomplish a task. Same concept we are using here to make the logistic management in warehouse efficient. Methodology involved is communication between the

Collaborative Work Management Using SWARM Robotics
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ABSTRACT: Swarm robotic systems which are inspired from social way of acting of wildlife specially insects are becoming a interesting topic for multi-robot researchers. Simulation software is mostly used for research in swarm robotics due the hardware complexities and

Poster: LIghtweight Swarm Attestation: a Tale of Two LISA-s
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Abstract:The advent of IoT brought about the paradigm of many interconnected devices, thus triggering the need for efficient collective attestation of a (possibly mobile) swarm of provers. Though recent work has yielded some initial concepts for swarm attestation, several

UB Swarm Robot Design, Implementation, and Power Managment
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Abstract:In this paper we described the hardware architecture of an inexpensive, heterogeneous, mobile robot swarm, designed and developed at RISC lab, University of Bridgeport. Each UB robot swarm is equipped with sensors, actuators, control and

A Co-Evolutionary Particle Swarm Optimization with Dynamic Topology for Solving Multi-Objective Optimization Problems
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Abstract This paper proposes a multi-objective with dynamic topology particle swarm optimization (PSO) algorithm for solving multi-objective problems, named DTPSO. One of the main drawbacks of classical multi-objective particle swarm optimization algorithm is low

REDUCED REDUNDANT DATA IN THE WIRELESS SENSOR NETWORK USING PARTICLE SWARM OPTIMIZATION
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ABSTRACT The energy constraints in the wireless sensor network are under too much consideration. Since WSN is based on relay system and therefore each node is participates in complete communication process either a source, forwarding nodes or as a receiver. This

Circular Array Pattern Synthesis using Particle Swarm Optimization
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ABSTRACT In this paper a new and effective optimization algorithm is proposed known as Particle Swarm Optimization which is found to be more effective and faster than the GA techniques. The new approach determines an optimum set of weights and antenna element

A Meta-heuristic Model for Optimizing Goods Transportation Costs in Road Networks based on Particle Swarm Optimization
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Abstract Road transportation network system plays a significant role in transportation of goods with economical aspects. Most manufacturers' products and costumers' needs are transported by transport organizations. But, one of the most concern of many goods transport

Energy Optimization using Particle Swarm Optimization based on Clustering for Wireless Sensor Network
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ABSTRACT Wireless Sensor Network (WSN) is a self-organizing network which formed with huge sensors which are located in an application specific environment to monitor the physical pheromone like temperature, fire, and pressure. Mostly sensors are equipped with

UAV Swarm Co-Ordination and Control Using Grossberg Neural Network
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ABSTRACT A UAV swarm (Swarm) has multiple unmanned aerial vehicles (UAV) working in synchronization towards achieving a unified/universal task. Swarm Co-ordination, primarily deals with communicating with each individual UAV independently from the Ground Control

Fully Informed Particle Swarm Optimizer: Convergence Analysis (draft)
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Abstract:At present, the explicit conditions necessary for order-2 stability of the fully informed particle swarm optimizer (FIPS) have not be derived. This paper theoretically derives the criteria for order-2 stability of the FIPS algorithm under the stagnation

Resource Allocation in Cloud Environment Using Approaches Based Particle Swarm Optimization
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Abstract: It is obvious that in emerging computing paradigms such as cloud computing systems, scheduling is one of the main phases to take advantages of capabilities. The cloud computing environment is a dynamic environment which allows services to be shared

MR Brain Image Segmentation Using an Improved Kernel Fuzzy Local Information C-Means Based Wavelet, Particle Swarm Optimization (PSO) Initialization
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Abstract: This paper, presents a new image segmentation method based on Wavelets, Particle Swarm Optimization (PSO) and outlier rejection caused by the membership function of the kernel fuzzy local information c-means (KFLICM) algorithm combined with level set is

A hybrid algorithm based on Particle Swarm Optimization and Tabu Search for the Maximum Diversity Problem
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Abstract This article describes a hybrid algorithm (PSO TS) that uses Particle Swarm Optimization (PSO) and Tabu Search (TS) to solve the Maximum Diversity Problem (MDP). The MDP is a problem in the area of combinatorial optimization which aims to select a preset

FREQUENCY CONTROL OF AN ISOLATED HYBRID POWER SYSTEM USING PARTICLE SWARM OPTIMIZATION OPTIMIZED PID CONTROLLER
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ABSTRACT The mitigation of frequency fluctuation using Particle Swarm Optimization (PSO) based controllers for an isolated hybrid power system is explored in this paper. The proposed system consists of solar photovoltaic (PV), electric water heater (EWH) and diesel

Optimal AVR Control System using Particle Swarm Optimization
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Abstract: This paper proposed a PSO with the constriction factor algorithm was used to tune PID-gains for an automatic voltage regulator (AVR) system. In the proposed approach, optarget value. Thus, a

Hybrid Swarm Optimization for Document Image Binarization Based on Otsu Function
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Abstract The Binarization of the historical documents is NP-hard problem since the image contains noise, source degradations, and illumination. The aim of binarization is to find the proper image pixels' threshold to improve the overall performance of the system. This paper

Home Energy Management using Enhanced Differential Evolution and Chicken Swarm Optimization Techniques
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Abstract Energy optimization is important aspect of smart gird (SG). SG integrates communication and information technology in traditional grid. In SG there is twoway communication between consumer and utility. It includes smart meter, Energy Management

An Analysis of Particle Swarm Optimization with Data Clustering Technique for Optimization in Data Mining
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Abstract Data clustering is an approach for automatically finding classes, concepts, or groups of patterns. It also aims at representing large datasets by a few number of prototypes or clusters. It brings simplicity in modelling data and plays an important role in the process of

GPU-based Parallel Particle Swarm Optimization Methods for Graph Drawing
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Abstract Particle swarm optimization (PSO) is a population-based stochastic search technique for solving optimization problems, which has been proven to be efficient and effective in wide applications. However, the computational efficiency on large scale

Optimal Tuning of PID Controller for PMBLDC Motor using Cat Swarm Optimization
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Abstract This paper proposes the optimal tuning of PID controller with Cat Swarm Optimization (CSO) algorithm for the speed control of Brushless DC Motor. Proportional Integral Derivative controllers are most popular controllers because of their effectiveness

Speech Scrambling based on Independent Component Analysis and Particle Swarm Optimization
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Abstract: The development of communication technologies and the use of computer networks has led that the data is vulnerable to the violation. For this reason this paper proposed scrambling algorithm based on the Independent Component Analysis (ICA), and

Determination of Optimal Droop Controller Parameters for an Islanded Microgrid System Using Artificial Fish Swarm Algorithm (AFSA)
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Abstract This article presents the development of an optimized droop controller of microgrid during islanding using artificial fish swarm algorithm (AFSA). This is necessary in order to minimize the frequency deviation that occurs when microgrid switches to stand-alone mode

OPTIMIZATION OF PAGE RANKING WITH SWARM INTELLIGENCE ALGORITHMS FOR RE-RANKING OF WEB SEARCH RESULTS
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ABSTRACT-Search engines use the Page Ranking Algorithms to deliver the search results by taking the relevance, importance and content score into consideration. Web mining techniques are brought to use by the search engines for the extraction of relevant

Optimal Location of Multi-Types of Facts Devices Using Particle Swarm Optimization
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Abstract: In this paper the problem of improving the voltage profile and reducing power loss in electrical networks is a task that must be solved in an optimal manner. Therefore, placement of FACTS devices in suitable location can lead to control in-line flow and

OPTIMAL PID CONTROLLER OF POSITION TRACKING DC SERVOMOTOR CONTROL BASED PARTICLE SWARM OPTIMIZATION
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ABSTRACT In this work, a Particle Swarm optimization (PSO) algorithm is proposed to obtain optimal PID controller parameters of a DC servomotor drive. This work has a very important issue due to a wide range employed in various servomechanisms. The proposed

Implementation of Particle Swarm Optimization Technique for Spectrum Sensing in Cognitive Radio Networks
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Abstract Cognitive Radio has a fixed time frame to sense its environment and to transmit the data. If the sensing time of the CR is more, then there will be less time for transmission ie throughput will be small and if the transmission time is more, then there will be interference

Performance Optimization of Swarm Algorithm and Sensor Data for NASA Swarmathon Competition
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ABSTRACT This paper contains the methods used by students of Florida International University to optimize an autonomous robotic code to ensure the maximum amount of resource retrieval. Specifically, this paper deals with the ROS operating system and how

Solving Economic Load Dispatch Problems in Power Systems using Genetic Algorithm and Particle Swarm Optimization
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Abstract: In this paper, comparative study of two methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is used to solve Economic dispatch problem in power systems. The feasibility of both the methods is demonstrated for a six-generator system and

A Mathematical Modelling Evaluation of Wushu Training using Multi-Agent System and Wavelet Particle Swarm Optimization
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Y Gui ijssst.info Abstract:In this paper we carry out a mathematical modelling and optimization study to measure the effectiveness of the Wushu training system. In general, Wushu system can be divided into two parts: Wushu theory system and Wushu technology system. The theoretical

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